business analyst

access specialist 1

accounting technician

api support analyst i

call center analyst

technical support analyst

Expedia Group

<div>At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. 
 
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
<div><div><div>Our Team
We are the Expedia Group Advertising team. As a global leader in travel industry advertising, we connect advertisers with millions of travelers. This is a rapidly growing area of the business, with strong year-over-year growth, and a key area of long-term investment.
Within this organization, you&rsquo;ll join the Advertiser Team, which owns the advertiser-facing portal and the backend services and APIs that power it. These systems enable advertisers and third-party partners to configure, manage, and optimize ad campaigns across Expedia Group platforms.
You will work collaboratively with engineers, product, and cross-functional partners across a globally distributed organization to build impactful solutions for advertisers and travelers worldwide.
The Role
As a Software Development Engineer II, you will play a critical role in building and scaling high-performance systems that support Expedia Group&rsquo;s expanding advertising network. This role is primarily backend-focused (approximately 70&ndash;80%), with some frontend development (20&ndash;30%) supporting customer-facing experiences built in React.
You will contribute to a multi-year initiative to design and evolve a unified advertising platform, consolidating multiple ad products into a single, scalable system. Your work will directly influence advertiser experiences and shared capabilities across the platform.
In This Role, You Will
<ul><li>Design, build, test, and maintain scalable backend services and APIs that power the advertiser portal and enable third-party integrations
</li><li>Contribute to the development of a unified ads platform, delivering reusable capabilities across multiple advertising products
</li><li>Own features and services end-to-end&mdash;from design and implementation to deployment and operational support
</li><li>Apply strong coding fundamentals to deliver high-quality, maintainable, and extensible solutions
</li><li>Participate in system design, low-level design, API design (including GraphQL), and data modeling
</li><li>Build customer-facing features (primarily backend-driven, with some React frontend contributions)
</li><li>Drive improvements in scalability, performance, and reliability for high-traffic advertiser systems
</li><li>Collaborate with engineering, product, operations, and globally distributed teams to translate business needs into technical solutions
</li><li>Troubleshoot production issues and improve system health through monitoring, debugging, automation, and observability practices
</li><li>Write secure, well-tested code, participate in code reviews, and follow engineering best practices
</li><li>Leverage AI-enabled solutions and AI-assisted development tools to improve developer productivity and product outcomes
</li></ul>Minimum Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience
</li><li>5+ years of software development experience building and supporting production systems and services
</li><li>Strong foundation in data structures, algorithms, and core computer science fundamentals
</li><li>Experience owning components or services, including implementation, testing, deployment, and operational support
</li><li>Experience designing and building scalable backend systems and APIs
</li><li>Expertise in Java or Kotlin and familiarity with React
</li><li>Experience with API design and consumption, including REST and/or GraphQL
</li><li>Experience working across multiple technical systems or services, with the ability to debug and deliver maintainable solutions
</li></ul>Preferred Qualifications
<ul><li>Experience building software for advertising technology, marketplaces, or other high-scale distributed systems
</li><li>Experience with event streaming or messaging systems (e.g., Flink, Kafka, or similar real-time data processing technologies)
</li><li>Experience contributing to architecture and design discussions for services, APIs, and data models
</li><li>Demonstrated ability to improve service quality through performance tuning, observability, and automation
</li><li>Experience using metrics and data to inform engineering decisions and measure impact
</li><li>Familiarity with AI-driven systems and/or AI-assisted development tools (e.g., GitHub Copilot, Claude)
</li><li>Experience building customer-facing features, including frontend development with React
</li><li>Background working on large-scale, high-throughput systems or platforms
</li></ul>What You&rsquo;ll Bring
<ul><li>A strong sense of ownership, with a track record of delivering solutions end-to-end
</li><li>Ability to collaborate effectively across teams and contribute to a highly collaborative engineering culture
</li><li>Passion for building scalable, high-performance systems and improving the developer and customer experience
</li><li>Interest in solving complex problems in a fast-growing, high-impact area of the business
</li></ul></div></div></div><div><div>Please note that this role is only available in Seattle, WA, in alignment with our flexible work model, which requires employees to be in the office at least three days a week. We are unable to offer relocation assistance for this role.
</div></div>The total cash range for this position in Chicago is $136,000.00 to $190,500.00. Employees in this role have the potential to increase their pay up to $217,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.&amp;#xa; 
 
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future. 
 
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life . 
 
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation . 
 
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease. 
 
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/ . 
 
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Software Development Engineer III

Fitch Group

Requisition ID: 50531
 Business Unit: Fitch Group
 Category: Information Technology
 
Location: 
Chicago, IL, US
 
Date Posted: Aug 31, 2026
 
Machine Learning Engineer, Associate Director – AI Innovation Teams
 
Fitch Ratings is seeking a Machine Learning Engineer to join our new AI Innovation teams in Chicago—a bold initiative building the AI-powered future of financial analysis. We're not fine-tuning existing models or optimizing yesterday's algorithms. We're architecting the next generation: sophisticated agentic AI systems, intelligent automation that thinks, and ML capabilities that will redefine how credit analysis happens and how global financial markets consume insights.
 
This is AI's moment at Fitch, and we're moving decisively. As a Lead ML Engineer, you'll be a technical champion driving this transformation—building breakthrough ML systems that others will study, mentoring engineers who will become tomorrow's AI leaders, and establishing patterns that will scale across the organization. You're joining at the perfect inflection point: early enough to architect foundational decisions, resourced enough to execute boldly.
 
We need ML technologists who see greenfield opportunities as fuel rather than fear—whether you're an ML architect ready to design intelligent systems from first principles, an AI engineering leader who translates research breakthroughs into production reality, or a seasoned practitioner who recognizes that this moment demands courage over caution. If you're motivated by "let's prove this is possible" rather than "we need more data before we decide," this is a high-impact role where you'll spend less time justifying AI's potential and more time realizing it—alongside exceptional engineers who share your conviction that we're building something significant.
 
This role is ideal for someone who wants to remain deeply hands-on while operating at a senior level. You will contribute technical expertise, influence decision-making through strong engineering judgment, and partner closely with engineering leaders, product teams, and fellow engineers to deliver innovative AI solutions at scale. This is a senior individual contributor role with no direct people management responsibilities
 
What We Offer: 
Ground-floor ML leadership with enterprise resources – Define the ML architecture, technical standards, and engineering practices for Fitch's AI future while having the compute, research budgets, and organizational backing that most AI startups would envy; mentor and coach fellow ML engineers while remaining deeply hands-on with the most challenging technical problems
 Build breakthrough ML systems that matter – Develop net-new generative AI platforms, multi-agent orchestration systems, and intelligent automation that will process billions in credit decisions; experiment with frontier models, novel architectures, and unconventional approaches; see your ML innovations directly impact how global financial markets operate
 Access to cutting-edge ML infrastructure and research – Work with the latest LLMs, fine-tune foundation models, leverage enterprise-scale GPU clusters, experiment with emerging frameworks before they're mainstream, and collaborate with academic ML researchers; substantial conference and training budgets to stay at the forefront of AI innovation
 Shape ML governance and standards for an organization – Establish the ML engineering practices, model governance frameworks, and AI integration patterns that will guide Fitch's AI transformation; your architectural decisions will influence how a global financial services leader approaches intelligent systems
 Real production impact with sophisticated ML challenges – Build ML systems that analysts and financial professionals actually use daily; solve hard problems at the intersection of NLP, document intelligence, reasoning systems, and production-scale deployment; measure your impact in both model performance and business outcomes
 Accelerated career trajectory in AI leadership – High visibility to C-suite executives making billion-dollar strategic decisions; clear advancement paths to Principal ML Architect or AI Research Lead roles; opportunity to establish yourself as a recognized voice in financial AI and earn a reputation that opens doors across the industry
 
We'll Count on You To: 
Build transformative ML systems from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks (PyTorch, etc.), large language models, and emerging AI technologies that fundamentally change how analysts work and how Fitch operates
 Drive breakthrough AI innovation and experimentation boldly – Lead exploration of generative AI, multi-agent systems, RAG architectures, model fine-tuning, prompt engineering, and other emerging ML technologies; create cutting-edge proofs-of-concept; evaluate what's transformative versus what's hype; and turn research into production-quality AI capabilities
 Define ML technical vision and architecture for the future – Shape architectural decisions for ML systems, establish ML engineering standards, drive technology and framework choices, and influence how Fitch approaches intelligent platforms and AI governance across the organization
 Lead through innovation, influence, and mentorship – Mentor and coach fellow ML engineers while partnering with product squads, business stakeholders, and cross-functional teams to translate ambitious AI ideas into elegant technical solutions; foster a culture of experimentation, continuous learning, and calculated risk-taking
 Champion ML excellence while moving fast – Balance innovation velocity with ML engineering best practices; implement robust CI/CD pipelines for ML systems; develop scalable APIs (FastAPI, etc.) for model deployment; solve novel technical challenges at the intersection of cutting-edge AI research and production systems; and build solutions that are both breakthrough and reliable
 Drive ML governance and operational excellence – Ensure adherence to AI/ML governance guidelines, monitor SLAs for AI solutions, optimize model performance and reliability, and translate complex ML concepts for both technical and non-technical audiences across distributed teams
 Shape team culture and technical direction – Help define how our AI innovation teams operate, what "good" looks like for ML engineering, and how we balance exploration with delivery; model the curiosity, boldness, and technical rigor needed to succeed in a greenfield ML innovation environment
 
What You Need to Have: 
Deep ML technical expertise – 12+ years of professional experience building production AI/ML systems, with strong proficiency in Python, ML algorithms (from classical techniques to deep learning), and modern ML frameworks; proven track record of delivering advanced generative AI and ML solutions
 ML architectural mastery and greenfield experience – Demonstrated experience designing scalable ML systems from scratch; deep understanding of ML system architecture, model deployment patterns, and the ability to make bold architectural decisions for AI platforms in ambiguous environments
 Advanced generative AI expertise – Extensive hands-on experience developing and integrating generative AI solutions, working with large language models, building agentic systems, implementing RAG architectures, and training/fine-tuning neural networks using frameworks like PyTorch
 Bachelor's degree in Machine Learning, Computer Science, Data Science, Applied Mathematics, or related field
 Production ML engineering excellence – Deep understanding of ML operations, including containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure), workflow orchestration (Airflow), automated testing for ML systems, and API development for model deployment
 Technical leadership and influence – Track record of mentoring and coaching engineers, driving ML initiatives in fast-moving environments, leading through technical excellence and influence rather than authority, and building credibility through results and vision
 Innovation and experimentation mindset – Demonstrated history of exploring emerging ML technologies, building AI proofs-of-concept, learning from failures, and translating cutting-edge research into production systems; comfort with ambiguity and rapid technological change
 Outstanding collaboration and communication – Ability to articulate ML technical vision to diverse audiences, work effectively with product squads and business partners, translate complex AI/ML concepts for non-technical stakeholders, and bring your whole self while remaining open to others' perspectives
 
What Would Make You Stand Out: 
Cutting-edge AI research to production experience – Track record of taking breakthrough AI capabilities from research/prototype to production-scale deployment; experience supporting seamless transitions from experimentation to enterprise-grade ML systems with real users
 ML thought leadership and technical strategy – History of establishing technical direction for ML initiatives, contributing to open-source ML projects, speaking at AI/ML conferences, publishing research, or writing about practical applications of emerging AI technologies
 Multi-agent and agentic systems expertise – Hands-on experience building multi-agent systems, agentic workflows, tool-using AI systems, or complex AI orchestration platforms that go beyond simple LLM integrations
 Advanced cloud-native ML infrastructure – Deep expertise building sophisticated ML infrastructure, MLOps pipelines, model serving platforms, and cloud-native AI systems at scale; experience optimizing cost and performance of production LLM deployments
 Financial services or analytical domain knowledge – Understanding of analytical workflows, credit analysis processes, regulatory requirements, financial data products, or how ML enables better financial decision-making; familiarity with credit ratings agencies is a significant advantage
 Startup or innovation team experience – History of building greenfield ML products, working in fast-paced AI innovation environments, or being part of 0-to-1 ML initiatives within larger organizations where you shaped technical direction
 Toronto AI/ML community connection – Active participation in Toronto's AI/ML research or engineering communities, connections to academic ML research groups, or strong interest in being part of Toronto's world-class AI ecosystem
 
If you're ready to build transformative ML systems with organizational backing, talented colleagues, and the resources to succeed—this is the moment to join us.
 
Why Fitch?
 
At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.
 
Every team member is essential to our business, and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority.
 
We are building incredible things at Fitch and we invite you to join us on our journey.
 
About Fitch Group
 
Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings | Fitch Solutions | Fitch Learning.
 
For more information please visit our websites: www.fitchratings.com | www.fitchsolutions.com | www.fitchlearning.com
 
Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work.
 
Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
 
FOR CHICAGO ROLES ONLY: Expected base pay rates for the role will be between 140,000 CAD and 175,000 USD. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch’s total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.
 
#LI-Group
 
#LI-AT
 
#LI-Hybrid

Machine Learning Engineer, Associate Director (Chicago)

Logic, Inc.

<div><div>Forward Deployed Engineer Associate Director | Senior Level | Full time
</div><div>Job No. R00352372 | Multiple Locations</div></div>
 <div><div>We Are
The Accenture Palantir Business Group (APBG) is a global business group within Accenture that combines Accenture&rsquo;s industry, data, and AI expertise with Palantir&rsquo;s Foundry and Artificial Intelligence Platform (AIP) to help organizations scale AI and transform decision‑making. Formed in 2025 as part of Accenture&rsquo;s expanded strategic partnership with Palantir, APBG serves as a center of excellence delivering Palantir‑enabled solutions across industries such as government, healthcare, energy, financial services, and manufacturing. The group accelerates enterprise reinvention by integrating consulting, engineering, and global delivery capabilities to move clients from siloed data to integrated, AI‑driven decision intelligence.
You Are:
As a Forward Deployed Engineer, you will be responsible for helping our clients solve their most pressing challenges, from the battlefield to supply chains, benefits programs, and broader government operations. You will work as part of a small team of engineers, domain experts, and other Deployment Strategists to turn a client&rsquo;s vision into reality by deploying Palantir software and building tailored solutions that make a measurable impact on their operations.
Responsibilities:<ul><li>Work with cross-functional teams: Partner with engineers, program managers, and domain specialists to design, build, and support client-facing applications.</li><li>Translate objectives into a delivery plan: Gather requirements, analyze data and workflows, and define a roadmap from prototype to scaled deployment.</li><li>Prototype and iterate quickly: Build from scratch when needed, validate with users, and iterate rapidly based on feedback and operational results.</li><li>Deliver production-grade solutions: Ship reliable pipelines and applications that turn client data into operational workflows and decision support.</li><li>Align and communicate: Write clear requirements, share progress with technical and non-technical stakeholders, and drive work to release.</li></ul>
What We Look For:<ul><li>Client success mindset: Own the outcome, go beyond the stated scope when needed, and consistently deliver value for the customer.</li><li>Structured problem solving: Break down ambiguous problems, identify constraints, and design end-to-end solutions.</li><li>Software + data engineering fundamentals: Write production code (e.g., Python, TypeScript) and build applications on large structured and unstructured datasets.</li><li>Bias for ownership: Work independently, drive decisions, and be accountable for results.</li><li>Track record of delivery: Ship software/analytics that produces measurable, real-world outcomes.</li><li>Collaboration and client-facing communication: Work effectively with teammates and clients across technical levels; embed with customer teams when required.</li></ul>
In this role, you will iterate quickly, build from scratch, and help organizations transform their operations at uncommon speed. You will not just be deploying software; you will help reshape how entire organizations function by providing powerful tools to those who can drive change.
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.</div></div>
 <div>Here is what you need:
<ul><li>
Minimum of 8 years hands-on experience in data engineering, including ETL/ELT pipelines, data warehousing, and large-scale data integration.</li><li>
Minimum of 5 years' experience with Palantir Foundry building data pipelines, managing datasets, and deploying applications within Palantir Foundry and/or Palantir Gotham</li><li>
Minimum of 3 years experience prompt engineering and applied AI techniques within Palantir (AIP, model deployment, feature engineering)</li><li>
Minimum of 5 years working with cloud platforms (AWS, Azure, or GCP)</li><li>
Minimum of 8 years experience in Python OR PySpark OR Java</li><li>
Minimum 5 years leading an engineering team</li><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent (minimum 12 years) work experience. If Associate&rsquo;s Degree, must have minimum 8 years work experience</li></ul> 


Professional Skill Requirements:
<ul><li>
Ability to be a personable communicator who can explain technical concepts clearly and credibly to executive stakeholders.</li><li>
Ability to build rapport quickly and represented teams professionally with clients
<ul><li>Write clear, concise documentation (requirements, design notes, runbooks) for technical and non-technical audiences</li><li>
Present updates, trade offs, and recommendations to executives; tailor the message to the audience</li></ul></li></ul> 


Bonus points if you have:
<ul><li>
Full-stack and Front-end development experience</li><li>
Palantir certifications (Foundry, Gotham, or AIP)</li><li>
Consulting or client-facing experience</li><li>
Experience with DevOps / CI-CD pipelines (Git, GitHub/GitLab, Jenkins)</li><li>
Experience building solutions with large language models</li><li>
Demonstrated proficiency in TypeScript, or JavaScript</li></ul> 

 
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. 
We anticipate this job posting will be posted until 10/06/2026. 
 
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture 
Role Location Annual Salary Range 
California $163,000 to $434,000 
Cleveland $150,900 to $347,200 
Colorado $163,000 to $375,000 
District of Columbia $173,500 to $399,300 
Illinois $150,900 to $375,000 
Maine $138,800 to $319,400 
Maryland $163,000 to $375,000 
Massachusetts $163,000 to $399,300 
Minnesota $163,000 to $375,000 
New York $150,900 to $434,000 
New Jersey $173,500 to $434,000 
Virginia $150,900 to $399,300 
Washington $173,500 to $399,300</div>
 <div>Chicago, IL
Albany, NY
Arlington, VA
Atlanta, GA
Austin, TX
Beaverton, OR
Bentonville, AR
Boston, MA
Carmel, IN
Charlotte, NC
Cincinnati, OH
Cleveland, OH
Columbus, OH
Culver City, CA
Denver, CO
Des Moines, IA
Detroit, MI
Hartford, CT
Houston, TX
Irving, TX
Kirkland, WA
Miami, FL
Milwaukee, WI
Minneapolis, MN
Morristown, NJ
Mountain View, CA
Nashville, TN
New York City, NY
Oklahoma City, OK
Overland Park, KS
Philadelphia, PA
Pittsburgh, PA
Raleigh, NC
Redmond, WA
Sacramento, CA
San Diego, CA
San Francisco, CA
Scottsdale, AZ
Seattle, WA
St. Louis, MO
St. Petersburg, FL
Walnut Creek, CA</div>
 <div>Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. 


Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. 


Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women. 


Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. 
 
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please for additional important information.

Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</div>
 <div>We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people&rsquo;s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We&rsquo;re proud to be consistently recognized as one of the World&rsquo;s Best Workplaces&trade;.

Join Accenture to work at the heart of change. Visit us at www.accenture.com.</div>

Palantir Forward Deployed Engineer -Assoc Director

J2B GLOBAL LLC

<div><div><div><div><h3 class="jobSectionHeader">Generative AI Architect</h3>
</div><div>C2CContractW2
</div></div><div>Los Angeles, CA (Remote)
</div><div>Visa: US CitizenGreen CardGC-EADH1BH4-EADTNEAD
</div><div>Job Summary: We are seeking an experienced Generative AI Architect to define and drive the organization's enterprise Generative AI strategy and architecture. The role will focus on designing scalable RAG platforms, multi-agent AI systems, cost-efficient LLM inference infrastructure, and enterprise AI governance frameworks. The ideal candidate will have strong experience in Generative AI, LLM architecture, RAG, vector databases, model serving, cloud AI platforms, and enterprise AI governance, along with the ability to provide technical leadership across AI initiatives. Responsibilities Define the client's multi-year Generative AI blueprint, including technology strategy, architecture roadmap, and platform capabilities. Develop model selection strategies for open-source and proprietary models based on performance, cost, scalability, security, and business requirements. Establish governance standards for GenAI frameworks, models, development practices, and enterprise adoption. Design enterprise-grade RAG architectures using high-throughput vector databases such as Pinecone, Milvus, and pgvector, integrating enterprise data sources including video telemetry, content metadata libraries, and customer data platforms. Architect multi-agent orchestration systems using LangGraph, AutoGen, and Semantic Kernel for complex, multi-step workflows. Define scalable architecture patterns for LLM applications, retrieval systems, agents, tools, and AI workflows. Design cost-efficient and low-latency LLM inference pipelines using AWS Bedrock, Azure OpenAI, and Google Cloud Vertex AI. Define scalable model deployment and inference strategies, including GPU utilization and resource optimization. Implement model optimization techniques including quantization, caching layers, token usage optimization, efficient inference, and workload optimization. Establish strategies to manage and optimize enterprise AI compute and operational costs and evaluate model-serving technologies such as NVIDIA Triton and vLLM. Establish GenAI guardrails and responsible AI frameworks covering hallucination detection, toxicity filtering, DLP, output validation, and secure LLM interactions. Define governance standards for model usage, data access, AI application development, and production deployment. Ensure AI solutions comply with DRM, CCPA/user privacy, and copyright requirements, including appropriate controls for video scripts, captions, user logs, and other enterprise content and data. Partner with Product Managers, Data Engineering teams, and Content Operations to translate business requirements into viable GenAI initiatives. Evaluate AI use cases, define technical architectures and implementation approaches, mentor GenAI Engineers, and conduct architecture and code reviews. Create and maintain Architecture Decision Records (ADRs) and promote engineering best practices across GenAI development and deployment teams. Required Skills Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field. Equivalent practical experience with demonstrated expertise in Generative AI architecture may also be considered. 10+ years of experience in software engineering, data architecture, machine learning, or related technical disciplines, including at least 3+ years specifically leading Generative AI architecture, LLM deployment, and RAG systems at scale. Proven experience designing enterprise-grade AI platforms and production LLM solutions, providing technical leadership and mentoring AI engineering teams. Deep expertise in Python and strong experience with PyTorch and/or TensorFlow. Hands-on experience with LangChain and/or LlamaIndex. Strong knowledge of enterprise RAG architectures and vector databases, including Pinecone, Milvus, and pgvector. Experience with LLM model serving, including NVIDIA Triton and/or vLLM. Strong experience with AWS Bedrock, Azure OpenAI, and Google Cloud Vertex AI. Strong understanding of LLM inference, embeddings, vector search, prompt engineering, model optimization, and AI application architecture. Experience designing scalable and reliable AI systems for enterprise workloads. Strong capabilities in Generative AI Architecture, LLM Architecture &amp; Deployment, RAG Architecture, Multi-Agent Systems, Vector Search &amp; Retrieval, Cloud AI Platforms, Model Serving &amp; Inference Optimization, GPU &amp; Cost Optimization, AI Security &amp; Governance, Responsible AI, and Technical Leadership &amp; Mentoring. Desired Skills Experience in recommendation engines, conversational search, multi-modal AI systems, text-to-video applications, audio-to-text applications, content intelligence, AI-powered media workflows, or large-scale enterprise AI platforms.</div></div><div> Refer</div></div>

Generative AI Architect

<div><div>Forward Deployed Engineer Manager | Senior Level | Full time
</div><div>Job No. R00352364 | Multiple Locations</div></div>
 <div><div>We Are
The Accenture Palantir Business Group (APBG) is a global business group within Accenture that combines Accenture&rsquo;s industry, data, and AI expertise with Palantir&rsquo;s Foundry and Artificial Intelligence Platform (AIP) to help organizations scale AI and transform decision‑making. Formed in 2025 as part of Accenture&rsquo;s expanded strategic partnership with Palantir, APBG serves as a center of excellence delivering Palantir‑enabled solutions across industries such as government, healthcare, energy, financial services, and manufacturing. The group accelerates enterprise reinvention by integrating consulting, engineering, and global delivery capabilities to move clients from siloed data to integrated, AI‑driven decision intelligence.
You Are:
As a Forward Deployed Engineer, you will be responsible for helping our clients solve their most pressing challenges, from the battlefield to supply chains, benefits programs, and broader government operations. You will work as part of a small team of engineers, domain experts, and other Deployment Strategists to turn a client&rsquo;s vision into reality by deploying Palantir software and building tailored solutions that make a measurable impact on their operations.<h2 class="jobSectionHeader">
Responsibilities:</h2><ul><li>Work with cross-functional teams: Partner with engineers, program managers, and domain specialists to design, build, and support client-facing applications.</li><li>Translate objectives into a delivery plan: Gather requirements, analyze data and workflows, and define a roadmap from prototype to scaled deployment.</li><li>Prototype and iterate quickly: Build from scratch when needed, validate with users, and iterate rapidly based on feedback and operational results.</li><li>Deliver production-grade solutions: Ship reliable pipelines and applications that turn client data into operational workflows and decision support.</li><li>Align and communicate: Write clear requirements, share progress with technical and non-technical stakeholders, and drive work to release.</li></ul><h2 class="jobSectionHeader"> 
What We Look For:</h2><ul><li>Client success mindset: Own the outcome, go beyond the stated scope when needed, and consistently deliver value for the customer.</li><li>Structured problem solving: Break down ambiguous problems, identify constraints, and design end-to-end solutions.</li><li>Software + data engineering fundamentals: Write production code (e.g., Python, TypeScript) and build applications on large structured and unstructured datasets.</li><li>Bias for ownership: Work independently, drive decisions, and be accountable for results.</li><li>Track record of delivery: Ship software/analytics that produces measurable, real-world outcomes.</li><li>Collaboration and client-facing communication: Work effectively with teammates and clients across technical levels; embed with customer teams when required.</li></ul> 
In this role, you will iterate quickly, build from scratch, and help organizations transform their operations at uncommon speed. You will not just be deploying software; you will help reshape how entire organizations function by providing powerful tools to those who can drive change. 
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.</div></div>
 <div>Here is what you need:
<ul><li>
Minimum of 5 years hands-on experience in data engineering, including ETL/ELT pipelines, data warehousing, and large-scale data integration.</li><li>
Minimum of 3 years' experience with Palantir Foundry building data pipelines, managing datasets, and deploying applications within Palantir Foundry and/or Palantir Gotham</li><li>
Minimum of 3 years experience prompt engineering and applied AI techniques within Palantir (AIP, model deployment, feature engineering)</li><li>
Minimum of 5 years working with cloud platforms (AWS, Azure, or GCP)</li><li>
Minimum of 5 years experience in Python OR PySpark OR Java</li><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent (minimum 12 years) work experience. If Associate&rsquo;s Degree, must have minimum 8 years work experience</li></ul>

Professional Skill Requirements:
<ul><li>
Ability to be a personable communicator who can explain technical concepts clearly and credibly to executive stakeholders.</li><li>
Ability to build rapport quickly and represented teams professionally with clients
<ul><li>Write clear, concise documentation (requirements, design notes, runbooks) for technical and non-technical audiences</li><li>
Present updates, trade offs, and recommendations to executives; tailor the message to the audience</li></ul></li></ul>

Bonus points if you have:
<ul><li>
Full-stack and Front-end development experience</li><li>
Palantir certifications (Foundry, Gotham, or AIP)</li><li>
Consulting or client-facing experience</li><li>
Experience with DevOps / CI-CD pipelines (Git, GitHub/GitLab, Jenkins)</li><li>
Experience building solutions with large language models</li><li>
Demonstrated proficiency in TypeScript, or JavaScript</li></ul>

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. 
We anticipate this job posting will be posted until 07/31/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture

Role Location Annual Salary Range

California $94,400 to $305,000

Cleveland $87,400 to $244,000

Colorado $94,400 to $263,500

District of Columbia $100,500 to $280,600

Illinois $87,400 to $263,500

Maine $80,400 to $224,500

Maryland $94,400 to $263,500

Massachusetts $94,400 to $280,600

Minnesota $94,400 to $263,500

New York $87,400 to $305,000

New Jersey $100,500 to $305,000

Virginia $87,400 to $280,600

Washington $100,500 to $280,600

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 10/06/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture
Role Location Annual Salary Range California $94,400 to $316,300 Cleveland $87,400 to $253,000 Colorado $94,400 to $273,200 District of Columbia $100,500 to $291,000 Illinois $87,400 to $273,200 Maine $80,400 to $232,800 Maryland $94,400 to $273,200 Massachusetts $94,400 to $291,000 Minnesota $94,400 to $273,200 New York $87,400 to $316,300 New Jersey $100,500 to $316,300 Virginia $87,400 to $291,000 Washington $100,500 to $291,000</div>
 <div>Chicago, IL
Albany, NY
Arlington, VA
Atlanta, GA
Austin, TX
Beaverton, OR
Bentonville, AR
Boston, MA
Carmel, IN
Charlotte, NC
Cincinnati, OH
Cleveland, OH
Columbus, OH
Culver City, CA
Denver, CO
Des Moines, IA
Detroit, MI
Hartford, CT
Houston, TX
Irving, TX
Kirkland, WA
Miami, FL
Milwaukee, WI
Minneapolis, MN
Morristown, NJ
Mountain View, CA
Nashville, TN
New York City, NY
Oklahoma City, OK
Overland Park, KS
Philadelphia, PA
Pittsburgh, PA
Raleigh, NC
Redmond, WA
Sacramento, CA
San Diego, CA
San Francisco, CA
Scottsdale, AZ
Seattle, WA
St. Louis, MO
St. Petersburg, FL
Walnut Creek, CA</div>
 <div>Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. 


Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. 


Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women. 


Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. 
 
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please for additional important information.

Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</div>
 <div>We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people&rsquo;s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We&rsquo;re proud to be consistently recognized as one of the World&rsquo;s Best Workplaces&trade;.

Join Accenture to work at the heart of change. Visit us at www.accenture.com.</div>

Palantir Forward Deployed Senior Engineer

Lenovo

<div>
 We are Lenovo. We do what we say. We own what we do. We WOW our customers.
 
 
 Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
 
 
 This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
 
 
 <ul>
 <li>
 Please Note: This role will be hybrid with 3 days/week in office in Chicago, IL*
 
 
 </li>
 </ul>
 
 LATC Overview
 
 
 
 The Lenovo AI Technology Center (LATC)&mdash;Lenovo&rsquo;s global AI Center of Excellence&mdash;is driving our transformation into an AI-first organization. We are assembling a world-class team of researchers, engineers, and innovators to position Lenovo and its customers at the forefront of the generational shift toward AI. Lenovo is one of the world&rsquo;s leading computing companies, delivering products across the entire technology spectrum, spanning wearables, smartphones (Motorola), laptops (ThinkPad, Yoga), PCs, workstations, servers, and services/solutions. This unmatched breadth gives us a unique canvas for AI innovation, including the ability to rapidly deploy cutting-edge foundation models and to enable flexible, hybrid-cloud, and agentic computing across our full product portfolio. To this end, we are building the next wave of AI core technologies and platforms that leverage and evolve with the fast-moving AI ecosystem, including novel model and agentic orchestration collaboration across mobile, edge, and cloud resources. This space is evolving fast and so are we. If you&rsquo;re ready to shape AI at a truly global scale, with products that touch every corner of life and work, there&rsquo;s no better time to join us. #LATC
 
 
 
 Job Summary
 
 
 
 Lenovo is seeking a technical lead who will own the full agentic stack &mdash; from LLM orchestration, tool use, memory, and production deployment.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and ship agentic LLM pipelines: multi-step reasoning, tool use, reflection loops, and long-horizon planning and memory
 </li>
 <li>
 Build evaluation frameworks to measure agent reliability and safety across different tasks.
 </li>
 <li>
 Build and maintain RAG systems, vector stores, and external tool integrations
 </li>
 <li>
 Deploy and scale agent systems in production; translate relevant research into working systems
 </li>
 <li>
 Be a technical lead, working closely with other AI engineers, ML scientists, and technical product managers to put pipelines in production
 </li>
 <li>
 Keep abreast of the latest developments in AI ML, applying cutting-edge research and methodologies to your work
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 6 years of industry experience in ML or applied AI with strong hands-on LLM experience (prompting, fine-tuning, inference optimization)
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, applied math, physics, or a related field
 </li>
 <li>
 Experience with NLP
 </li>
 <li>
 Fluent in Python and the modern ML stack (PyTorch, Hugging Face, vLLM or equivalent)
 </li>
 <li>
 Proven experience with agentic frameworks (LangGraph, AutoGen, CrewAI, or custom) and tool-use patterns (function calling, MCP, structured outputs)
 </li>
 <li>
 Solid grasp of RAG architecture, embedding models, and LLM evaluation methodology
 </li>
 <li>
 Strong software engineering fundamentals (python and at least one other programming language).
 </li>
 <li>
 Experience with Git, and Continuous Integration/Continuous Deployment (CI/CD)
 </li>
 <li>
 Experience deploying ML models using containerization and container orchestration technologies such as Docker and Kubernetes
 
 
 </li>
 </ul>
 
 Preferred Requirements
 
 
 
 <ul>
 <li>
 PhD or Master's preferred
 </li>
 <li>
 Experience with computer vision
 </li>
 <li>
 Experience with Agile frameworks, such as Scrum and Kanban
 </li>
 <li>
 Rust experience for performance-critical inference or runtime components
 </li>
 <li>
 Ability to effectively communicate technical solutions to both technical and business audiences, both verbally and in writing
 
 
 </li>
 </ul>
 The base salary range budgeted for this position in Chicago is $200k - $250k. Individuals may also be considered for bonus and/or commission. Lenovo&rsquo;s various benefits can be found here: https://www.lenovobenefits.com/enrolling-in-benefits/why-join-lenovo/
 
 
 #LATC
 
 
 
 We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
 
</div>

Advisory AI Engineer

NOCD

<div><div>About NOCD<div>
NOCD is the #1 telehealth provider for the treatment of obsessive-compulsive disorder (OCD). OCD is one of the most severe, prevalent, and misunderstood mental health conditions. NOCD creates access to online therapy for people with OCD through our telehealth platform. In the NOCD app, Members can quickly access and schedule live, face-to-face video therapy sessions with our national network of licensed Therapists that specialize in Exposure and Response Prevention Therapy (ERP) - considered the &quot;gold standard&quot; in OCD treatment. 
 
At NOCD, we help people reclaim their lives with clinically proven OCD treatment, by removing barriers to OCD care, and reducing the stigma associated with OCD. We&rsquo;re changing the world and need other like-minded individuals to accelerate and expand our efforts.</div></div><div></div><div> 
Chicago (Hybrid 3X a week in office) 
About Noto
Noto is an AI-enabled platform transforming specialty therapy to help end the mental health crisis. Powering NOCD, Rebound, and future specialty therapy brands, Noto works across each specialty to streamline payer partnerships, enrollment, and care delivery operations to treat complex mental and behavioral health conditions.
Our Brands
NOCD is an award-winning digital health company focused on identifying people with obsessive-compulsive disorder (OCD) and helping them access evidence-based treatment. OCD affects over 181 million people globally and is ranked by the World Health Organization as one of the top 10 most disabling conditions. Today, NOCD manages the largest community of OCD patients in the world &mdash; and we&rsquo;re just getting started.
At Rebound, we&rsquo;re building the future of trauma care. Over 140 million Americans have experienced trauma, yet effective care remains difficult to access. Our mission is to make recovery from trauma the norm, not the exception.
Rebound delivers virtual, gold-standard trauma therapy, covered by most major insurance plans, alongside evidence-based tools and deeply supportive guidance. Our work is grounded in psychological science and survivor-centered design, helping people process traumatic experiences, break intergenerational cycles, and reclaim their lives.
About the Role
As a Product Manager, Member Operations, you&rsquo;ll build products that help our 50+ person Member Operations team connect more people to life-changing care. Every day, our Member Advocates speak with hundreds of people looking for help &mdash; often during incredibly difficult moments in their lives. We take the responsibility of getting them connected to effective care seriously, and the tools we build for our team are a critical part of making that happen.
You&rsquo;ll build the products that help our Member Advocates deliver a higher-quality experience more efficiently &mdash; from AI-assisted workflows and enablement tools to simpler internal products and better self-service experiences for members. You&rsquo;ll work across Product, Operations, Engineering, Design, Growth, and Clinical teams to improve the journey from someone expressing interest in therapy to starting care.
This role comes with clear business ownership and measurable impact. You&rsquo;ll use data, member and team feedback, rapid prototyping, and experimentation to improve conversion, reduce cost per converted call, and help more people successfully begin treatment.
We&rsquo;re looking for someone who is passionate about people, analytical, and biased toward action. You&rsquo;re excited to get close to the people using your products, dig into the data, prototype solutions, work directly with engineers, and take initiative in turning ambiguous problems into products that meaningfully improve how people access mental healthcare.
What You&rsquo;ll Do<ul><li>
Lead the product roadmap for how members interested in therapy start, with responsibility for improving the member journey from initial discovery and qualification through enrollment, scheduling, and treatment start.</li><li>
Drive measurable funnel improvements from the moment someone expresses interest in therapy by booking a free 15 minute call till they start care with a NOCD Therapist.</li><li>
Develop a deep understanding of our members, combining quantitative data with member interviews, call reviews, user research, and feedback from frontline teams to identify the highest-impact problems to solve.</li><li>
Build and optimize digital intake experiences, including eligibility and qualification flows, insurance and benefits experiences, account creation, scheduling, onboarding, and other critical steps between interest and treatment.</li><li>
Partner with our Operation leaders to understand and advocate workflows, identify operational bottlenecks, and build internal tools and automation that allow teams to serve more members with greater speed and quality.</li><li>
Build enablement tools for our 50+ person Member Operations team, helping Member Advocates deliver a high-quality experience more efficiently and connect more people to appropriate care.</li><li>
Use AI and automation thoughtfully to simplify member experiences, automate repetitive operational work, improve personalization, and help teams operate more effectively at scale.</li><li>
Build a rigorous experimentation engine, developing hypotheses, launching A/B tests and other experiments, measuring results, and rapidly incorporating learnings into the product roadmap.</li><li>
Lead growth product analytics, defining KPIs, instrumenting funnels, building dashboards, and using data to understand behavior and prioritize opportunities.</li><li>
Partner with Design and Engineering from problem definition through launch, ensuring teams understand both the member problem and the measurable outcome we are trying to achieve.</li></ul>
What You&rsquo;ll Bring<ul><li>
3+ years of product management experience, ideally building consumer, growth, marketplace, healthcare, fintech, or other transaction-oriented digital products.</li><li>
Demonstrated experience driving growth metrics, such as conversion, activation, enrollment, retention, revenue, or another measurable business outcome.</li><li>
Strong product analytics skills, with the ability to independently investigate funnels, identify trends, develop hypotheses, and turn data into product decisions.</li><li>
Experimentation mindset, with experience designing, launching, and evaluating A/B tests or other structured product experiments.</li><li>
Exceptional product judgment, with the ability to identify the underlying problem behind a metric and distinguish meaningful product opportunities from incremental feature requests.</li><li>
Customer obsession, with a willingness to regularly talk to users, listen to calls, observe workflows, and deeply understand the experience behind the data.</li><li>
Bias toward action, with the ability to move quickly from ambiguous problems to hypotheses, experiments, and shipped products.</li><li>
Strong cross-functional leadership, with experience working closely with engineering, design, analytics, marketing, and operations teams.</li><li>
Excellent communication skills, with the ability to clearly articulate problems, strategy, tradeoffs, and results to both technical and non-technical stakeholders.</li><li>
Comfort operating in ambiguity, particularly within a fast-growing startup where priorities evolve and product managers are expected to take significant ownership.</li><li>
High EQ and empathy, particularly when designing experiences for people navigating sensitive, complex, and often difficult moments in their lives.</li></ul>
Preferred Skills<ul><li>
Strong analytical and technical fluency, including experience with SQL, data analysis, statistical methods, or other tools used to independently investigate product and business problems.</li><li>
Hands-on technical experience, such as coding, prototyping, or building with APIs and LLMs, with the ability to effectively collaborate with engineering teams on technical solutions.</li></ul>
How We&rsquo;ll Measure Success
Success in this role will ultimately be measured by whether the products you build help our Member Operations team connect more people who are interested in therapy with effective care, while delivering a high-quality member experience more efficiently.
A central measure of success will be cost per converted call: how effectively we help someone who has expressed interest in therapy move from an initial conversation with our team to actually starting therapy.
Depending on the product area, your metrics may also include:<ul><li>
Call-to-treatment conversion</li><li>
Qualified-member conversion</li><li>
Scheduling conversion</li><li>
Intake-to-first-session conversion</li><li>
Time from initial interest to treatment</li><li>
Member drop-off and abandonment rates</li><li>
Member experience and call quality</li><li>
Member Advocate productivity and operational efficiency</li><li>
Cost per converted call</li><li>
Cost of acquisition and enrollment</li></ul>
You&rsquo;ll be expected not only to report on these metrics, but to understand why they move and build a product strategy that consistently improves them.
Why Work at Noto
We&rsquo;re committed to supporting your growth, both professionally and personally. With an inclusive culture and ongoing learning opportunities, we are here to help you thrive and do the best work of your life.
At Noto, you will:<ul><li>
Own a product area directly tied to our mission and growth. The experiences you build will determine how effectively people seeking help can access evidence-based mental healthcare.</li><li>
Solve unusually meaningful growth problems. Instead of optimizing clicks for their own sake, you&rsquo;ll use growth product principles to help people overcome real barriers to accessing treatment.</li><li>
Work across the entire member journey. You&rsquo;ll collaborate with growth, marketing, operations, clinical, design, engineering, analytics, and business leaders.</li><li>
Build at a significant scale. You&rsquo;ll help evolve the technology and operational infrastructure behind one of the fastest-growing specialty behavioral health organizations.</li><li>
Help define the future of mental healthcare. You&rsquo;ll build products that make specialized, evidence-based treatment easier to discover, access, and begin.</li></ul>
What We Offer<ul><li>
Comprehensive benefits package, including medical, dental, vision coverage, and 401(k) match</li><li>
11 observed company holidays a year</li><li>
PTO based on an accrual system</li><li>
Engaging startup environment with an outstanding mission-driven team atmosphere</li><li>
Downtown Chicago office with an on-site gym</li><li>
Noto provides 12 weeks of fully paid parental leave for the primary caregiver and 6 weeks of fully paid leave for the secondary caregiver for qualifying full-time employees.</li></ul></div></div>

Product Manager, Member Operations

Explore 9+ Technical support analyst in Chicago this September. Find roles across top companies and apply now to boost your career.