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Mirage

<div>Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would &mdash; dramatically improving productivity for experienced teams, while making video creation accessible to anyone. 
 
We&rsquo;re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you&rsquo;ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. 
More about us
Product (Captions by Mirage)
Research (Seeing Voices, technical-white-paper)
Updates (Mirage on X / twitter)
TechCrunch, Forbes AI 50, Fast Company (press) 
Our Investors
We&rsquo;re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.
Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
About the Role 
Mirage is seeking an ML Engineer to build and scale the systems powering our video generation models. You&rsquo;ll work on novel modeling approaches, training objectives, scaling strategies, and inference optimization and efficiency to bring cutting-edge models into production.
This role sits at the intersection of research and systems engineering, focusing on making advanced models faster, more efficient, and capable of ultra-low latency, real-time generation.
Responsibilities<ul><li>
Train and optimize large-scale video and multimodal models</li><li>
Improve efficiency across training and inference (memory, latency, cost)</li><li>
Implement techniques such as distillation, quantization, and pruning to aggressively accelerate diffusion and autoregressive generation</li></ul><ul><li>
Build and maintain distributed training systems</li><li>
Optimize GPU utilization, parallelism, and throughput</li><li>
Develop tooling for experimentation, evaluation, and debugging</li></ul><ul><li>
Translate research models into robust, production-ready systems</li><li>
Monitor and improve model performance in real-world usage</li></ul>
What makes you a great fit<ul><li>
BS/MS/PhD in CS, ML, or related field</li><li>
2+ years of professional industry experience</li><li>
Strong experience in deep learning systems and infrastructure</li><li>
Expertise in PyTorch, CUDA, Triton, and distributed training (FSDP, etc.)</li></ul><ul><li>
Experience scaling and optimizing large models under low-latency inference constraints</li><li>
Strong debugging and performance profiling skills</li><li>
Ability to move quickly from prototype to production</li></ul><h3 class="jobSectionHeader">
Benefits:</h3><ul><li>
Comprehensive medical, dental, and vision plans</li><li>
401K with employer match</li><li>
Commuter Benefits</li><li>
Catered lunch multiple days per week</li><li>
Dinner stipend every night if you're working late and want a bite!
</li><li>Grubhub subscription</li><li>
Health &amp; Wellness Perks</li><li>
Multiple team offsites per year with team events every month</li><li>
Generous PTO policy</li></ul>
Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please note benefits apply to full time employees only.
Compensation Range: $175K - $275K</div>

Research Engineer, Generative Video

Capgemini

<div><div><div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Job Description</h2>
</div><div>Required Skills: Python, Machine Learning, Deep Learning, PyTorch, TensorFlow, Keras, Generative AI, Large Language Models (LLMs), Prompt Engineering, Fine-Tuning Techniques (LoRA, QLoRA), Hugging Face, LangChain, LlamaIndex, Retrieval-Augmented Generation (RAG), Vector Databases, Hybrid Search Techniques, NLP, Data Processing, REST APIs, Git, Agile/Scrum.
Preferred Skills: Agentic AI Frameworks, AI Model Evaluation, MLOps, Azure OpenAI, AWS Bedrock, Databricks, Streamlit, FastAPI, Docker, Kubernetes, Banking or Financial Services Domain Experience.
Job Responsibilities:
Design, develop, and deploy AI/ML and Generative AI solutions using Python, build and fine-tune machine learning and large language models using frameworks such as PyTorch, TensorFlow, and Keras, develop RAG-based applications using LangChain, Hugging Face, and LlamaIndex, implement and optimize vector search and hybrid search solutions, perform model training, evaluation, and fine-tuning using techniques such as LoRA and QLoRA, develop APIs and AI-powered services, integrate AI models with enterprise applications, ensure model performance, scalability, and reliability, collaborate with business and technology teams to translate requirements into AI solutions, and participate in Agile development, testing, deployment, and support activities.
</div></div></div>The base compensation range for this role in the posted location is: $106230 to $145000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

AI/ML, GenAI & Python Developer - Onsite NJ

Landing Point

<div>
 
 Company Overview:
 
 
 
 A global investment firm with a rich history in discretionary macro trading and significant capabilities in model-driven and systematic investment approaches is seeking a Software Engineer for their AI Team. This role will focus on evaluating, distributing, and maintaining AI tools across the firm.
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Establish, iterate, and educate on best practices for agentic engineering
 </li>
 <li>
 Create, manage, and maintain internal MCP servers
 </li>
 <li>
 Define and maintain security policies and data entitlements for agentic projects
 </li>
 <li>
 Migrate legacy workflows to agentic workflows
 </li>
 <li>
 Maintain and contribute to internal skills repository
 </li>
 <li>
 Contribute to multiple concurrent projects
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 5+ years as a software engineer working with Python or Java
 </li>
 <li>
 Strong SQL or NoSQL skills
 </li>
 <li>
 Experience building and maintaining MCP servers
 </li>
 <li>
 Experience with containerization (Docker/Podman)
 </li>
 <li>
 Experience with CLI agentic coding tools (Claude Code, Gemini CLI, Copilot CLI)
 </li>
 <li>
 Deep understanding of how modern models work &ndash; how they are trained, how they generate content, what are their strengths and weaknesses
 </li>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, engineering, physics, mathematics, or equivalent experience
 
 
 </li>
 </ul>
 
 Compensation:
 
 
 Salary:
 
 $150,000 &ndash; $250,000, Plus Bonus
 
 
 The post Software Engineer appeared first on Landing Point.
</div>

Software Engineer

JPMorganChase

<div>JOB DESCRIPTION 
 
 
At JPMorgan Chase, AI and technology promote our global operations with unmatched scale and speed. We invest over $18 billion annually in innovation, data leverage, and security to shape the future for our clients, communities, and employees. The Chief Data &amp; Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges. By ensuring data quality and leveraging insights, the CDAO supports our commercial goals, enhancing productivity and risk management through AI and machine learning. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.
As a Machine Learning Scientist &ndash; Natural Language Processing (NLP) - Senior Associate, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production. Acting as a leading voice within JPMC on all things Generative AI (GenAI), you will partner closely with all lines of business to innovate new solutions that drive transformational change for the bank. You will actively participate in our knowledge sharing community, representing your work inside and outside of the firm at leading industry conferences amongst peers and leaders in the space. We seek someone who excels in a highly collaborative, fast-paced environment, and holds a strong passion for machine learning to make a significant impact at a leading global financial institution.
Job responsibilities
<ul><li>Research and develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks involving Generative AI (GenAI)
</li><li>Act as a thought partner for JPMC leaders and help the business identify and implement new machine learning methods that deliver impact
</li><li>Drive cross-functional collaboration with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production
</li><li>Lead firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
</li></ul>Required qualifications, capabilities, and skills
<ul><li>PhD in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science, OR an MS with at least 2 years of industry or research experience in the field
</li><li>Solid background in Generative AI (GenAI) and hands-on experience and solid understanding of machine learning and deep learning methods and toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
</li><li>Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
</li><li>Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
</li><li>Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
</li></ul>Preferred qualifications, capabilities, and skills
<ul><li>Strong background in Mathematics and Statistics; Familiarity with the financial services industries and continuous integration models and unit test development
</li><li>Knowledge in search/ranking or Meta Learning
</li><li>Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large-scale distributed environment, and ability to develop and debug production-quality code
</li><li>Published research in areas of Machine Learning or Deep Learning at a major conference or journal
</li></ul>#MLCOE_jobs
#CDAO_CAO_jobs
ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate - Machine Learning Center of Excellence

Doppel

<div>
 
 Why Join Doppel
 
 
 
 Doppel is building the future of social engineering defense. Our AI-native platform uses agentic AI to protect executives, employees, customers, and brands from phishing, impersonation, fraud, and other AI-powered threats across digital channels. We help some of the world&rsquo;s most recognized brands detect and dismantle attacker infrastructure while strengthening employee resilience through threat-informed training and simulation. By unifying Digital Risk Protection, Human Risk Management and Email Security, Doppel connects threats into a real-time intelligence graph to power faster disruption, smarter defense, and modern security awareness at scale.
 
 
 Backed by leading investors including Andreessen Horowitz and Bessemer Venture Partners, and trusted by leading enterprises, Doppel is a rapidly growing Series C startup building the future of social engineering defense. Our team combines deep cybersecurity expertise, operational rigor, and startup velocity to solve some of the internet&rsquo;s most urgent trust and safety challenges.
 
 
 
 What We're Building
 
 
 
 We're building the AI-native social engineering defense platform.
 
 
 This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats.
 
 
 
 What We're Looking For
 
 
 
 We&rsquo;re looking for an experienced backend engineer to build out the infrastructure required to rapidly scale up our engineering organization. A few examples of the work we&rsquo;ve done recently:
 
 
 <ul>
 <li>
 Built a scalable data platform with a robust DBT transformation layer, enabling customers, engineers, and analysts to reliably model and query large-scale event data, track key product metrics, and power customer facing analytics.
 </li>
 <li>
 Launched a flexible notification system, delivering timely, reliable alerts across Slack, email, and other channels for internal and customer-facing use cases.
 </li>
 <li>
 Standardized core service patterns and shared business logic (auth, persistence, messaging), scaling them into reusable services that reduce duplication, ensure consistency, and enable product engineers to move faster as the company grows.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 🚀 A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density
 
 
 🍽️ Free lunch and dinner in the office
 
 
 🌴 Flexible PTO
 
 
 ✈️ Quarterly team offsites
 
 
 Join Doppel
 
 
 Doppel is the first platform built to dismantle digital deception at scale. We scan over 150 billion entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective.
 
 
 We&rsquo;re not just another cybersecurity company. We&rsquo;re defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top-tier investors and trusted by some of the world&rsquo;s most recognized brands, Doppel is growing fast. If you&rsquo;re driven to solve real-world problems with bold technology, we&rsquo;d love to meet you.
</div>

Software Engineer, Platform

<div>JOB DESCRIPTION 
 
 
As part of the Commercial &amp; Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money and assets. We tackle complex challenges at every stage of the payment lifecycle and our industry-leading solutions facilitate seamless transactions across borders, industries and platforms. Operating in over 160 countries and handling more than 120 currencies, we are the largest processor of USD payments, with a daily transaction volume of $10 trillion.
As a Vice President Applied AI/ML Scientist within our payment solutions team, you will be instrumental in utilizing artificial intelligence and machine learning technologies to augment our services and stimulate business expansion. Your role will involve researching, experimenting, developing, and implementing high-quality machine learning models, services, and platforms to streamline payment processes, bolster fraud detection, and enrich customer experience. You will also be tasked with designing and executing highly scalable and dependable data processing pipelines, conducting analysis, and deriving insights to boost and optimize business outcomes. Collaborating with cross-functional teams to pinpoint opportunities for AI/ML applications within the payment's ecosystem will also be a part of your responsibilities.
Job Responsibilities:
<ul><li>Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments' domain.
</li><li>Design, develop, and deploy agentic systems using Large Language Models (LLM), machine learning and other AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency.
</li><li>Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.
</li><li>Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.
</li></ul>Required qualifications, capabilities, and skills:
<ul><li>Master's degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 6 years of industry experience. Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required.
</li><li>Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Experience with Jupyter Notebook/Lab is essential.
</li><li>Extensive knowledge in the design and development of agentic systems and the tooling ecosystem such as LangChain, LangGraph, Model Context Protocol (MCP), DSPy, etc.
</li><li>Solid Understanding of algorithms in machine learning, AI, and neural network, including Large Language Models (LLM) and Generative AI as well as familiarity with state-of-the-art practices and advancements in these domains.
</li><li>Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans. You possess strong cognitive and communication skills, characterized by clear and articulate expression. You excel at identifying core issues, bringing order to chaos, synthesizing insights, and driving decisive outcomes.
</li><li>Extensive experience in Natural Language Processing (NLP) or Large Language Models (LLM),or Computer Vision and other machine learning techniques, including classification, regression algorithms.
</li></ul>Preferred Qualifications, capabilities and skills
<ul><li>Experience in the financial services industry, particularly within investment banking operations.
</li><li>Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.
</li><li>Familiarity with inference-time algorithms such as Chain of Thought and sampling, etc.
</li></ul>ABOUT US 
 
 
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI/ML Lead

EvolutionIQ

<div>About Us: EvolutionIQ builds AI that helps insurance claims teams handle claims more accurately, fairly, and efficiently, so more people impacted by injury or illness can get back to their lives with dignity and stability. As part of CCC Intelligent Solutions (NASDAQ: CCC), we pair AI-native product development with something almost no one else in this market has: 40 years of proprietary data and deep relationships with the largest, most complex carriers in the world. It's a rare combination, and it's what lets us build products others can't.

Our people come first, and we think it shows. We've been named one of Inc.'s Best Workplaces three years running, plus Built In's Best Places to Work in 2025 and 2026.

About the Role: We are hiring a Senior Product Manager to help build the next generation of AI-first products for our Short Term Disability product line. You'll own features and initiatives on the STD modules and help execute an ambitious multi-year roadmap delivering next-generation workflows, synthesis, insights, and decision guidance technologies to our disability carrier customers.

While no two days are the same, on any given day you can expect to:
<ul>
<li>Work closely with data-science partners to quantify value and identify product opportunities</li>
<li>Drive the roadmap and execution for AI-first products</li>
<li>Build and ship AI-first products that guide and augment human decision-making in STD claims</li>
<li>Work directly with stakeholders at major insurance carriers to uncover problems, test product concepts, and drive business outcomes</li>
<li>Get early product concepts in front of customers and use their reactions to make real decisions about what to build next</li>
<li>Partner with customer success, sales, and product marketing to support go-to-market strategy for new capabilities</li>
<li>Write code and build working prototypes alongside your engineers, using AI coding tools as a core part of how you work</li>
<li>Define clear value propositions, adoption hypotheses, and kill criteria for your work, and have the discipline to walk away from work that isn't landing</li>
<li>Contribute to the strategic direction of STD products broadly</li>
</ul>
What You'll Achieve with Us
<ul>
<li>Take product concepts from a blank page to working prototypes in front of the largest insurance carriers in the world</li>
<li>Shape the future of how disability claims are handled by building AI-first products that change what's possible for claims organizations</li>
<li>Work across a uniquely broad product surface &mdash; from modernizing established, revenue-generating products to launching entirely new AI-first product lines</li>
<li>Develop deep expertise in a massive, complex industry where AI is about to reshape decades of established practice</li>
<li>Work at the intersection of a market-leading enterprise with unmatched data and carrier relationships and an AI-native team that ships like a startup</li>
</ul>
About You
<ul>
<li>You are a seasoned Product professional who has built something from nothing at least once, ideally at a company where velocity and scrappiness were the norm. You think about products in terms of the economic and workflow problems they solve for a specific buyer, and you can carry that framing from early exploration through a compelling prototype.</li>
<li>You have gone deep in at least one complex, regulated vertical (fintech, healthtech, legaltech, HCM, or similar) and can speak specifically about how you built that understanding. We care less about which vertical and more about evidence that you know how to learn a complex domain quickly and turn that knowledge into good product decisions.</li>
<li>You are technical enough to contribute directly to working software. On a small team, there is no room for someone who shapes strategy and hands a spec to engineering. You build alongside your engineers using AI coding tools.</li>
<li>You have been a product leader on at least one product where AI was core to the value proposition, and you use AI tools daily in your actual work, not as a novelty, but as part of how you operate.</li>
<li>You are comfortable working with multiple disciplines across multiple teams. You'll be leading initiatives across product, engineering, data science, and CS. You're energized by that breadth rather than needing a single, fixed lane.</li>
<li>You have real discipline around killing work that isn't working. The intellectual honesty required to walk away from something you've built and care about, because the customer signal says no, is rarer than it sounds.</li>
</ul>
Key Competencies
<ul>
<li>0-to-1 product building. You have taken a product from concept through market validation and can point to specific decisions you made along the way.</li>
<li>Domain learning velocity. You can go deep in a new industry quickly, distinguish essential complexity from accumulated habit, and turn domain knowledge into product insight.</li>
<li>Technical contribution. You can prototype, build, and ship alongside engineers, working in AI coding environments and making direct technical contributions to the products you own.</li>
<li>Commercial instinct. You are comfortable in front of enterprise buyers, can construct a compelling value proposition and ROI case, and work well alongside sales and revenue teams.</li>
<li>AI fluency. You have practical, hands-on experience building AI-first products and a realistic sense of current capabilities and limitations.</li>
<li>Experimentation discipline. You define hypotheses, set kill criteria, test ideas with real customers, and make clear-eyed decisions about what to continue and what to stop.</li>
</ul>
Experience:
<ul>
<li>4+ years of product management experience in enterprise software or high-production SaaS environment (Senior or Lead will be determined based on experience)</li>
<li>At least one 0-to-1 product build, ideally in a startup or high-velocity environment</li>
<li>Deep experience in at least one complex, regulated vertical</li>
<li>Demonstrated experience building and shipping AI-driven products</li>
<li>Track record of working directly with enterprise customers and senior stakeholders to validate product direction</li>
<li>Comfort operating in ambiguity, with a bias toward action and learning over extensive upfront planning</li>
<li>Experience delivering results in a sales/GTM context, communicating effectively across stakeholders from end users to C-level executives</li>
</ul>
Work-life, Culture &amp; Perks:
<ul>
<li>Compensation: The base salary range is up to $220K, with flexibility depending on a candidate's background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.</li>
<li>Well-Being: Medical, dental, vision, short &amp; long-term disability, life insurance and AD&amp;D, and 401k matching. Additional family, wellness, and pet benefits.</li>
<li>Home &amp; Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.</li>
<li>Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.</li>
<li>Growth &amp; Training: $1,000/year for each employee for professional development, as well as opportunities for tuition reimbursement.</li>
<li>Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.</li> 
</ul>
EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div>

Senior Product Manager (Short Term Disability Product)

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