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OpenAI

About the Team
 
OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible.
 
Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization, working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent.
 
About the Role
 
You will own and execute long-term talent strategies to identify, engage, and recruit many of the world’s leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role.
 
You will operate as a strategic partner to OpenAI’s research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission.
 
In this role, you will: 
Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve.
 
Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist.
 
Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles.
 
Serve as a trusted advisor throughout candidate evaluation and closing — helping leaders calibrate for research excellence, long-term potential, and organizational fit.
 
Collaborate closely with your sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains.
 
You might thrive in this role if you: 
Significant experience recruiting within highly technical or specialized environments.
 
Deep interest in AI research and a desire to engage directly with global research communities.
 
Experience recruiting within highly technical or specialized environments such as ML/AI, distributed systems, infrastructure, scientific computing, or quantitative research.
 
Track record of leading complex, ambiguous technical searches from early talent mapping through close.
 
Experience navigating high-stakes negotiations with senior technical or research candidates.
 
Comfort operating in fast-moving environments where hiring priorities and role definitions may evolve over time.
 
Workplace & Location
 
This role is based in our San Francisco office and we aren’t considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees.
 
Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$216K – $240K + Offers Equity

Recruiter, AI/ML Research

Realign

<div>San Francisco, California 94016 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Contract
Job Category: IT
Job Description
Role: Sr. AI/ML Engineer<ul><li> Experience &ndash; 10+ Years</li><li> Location - San Francisco, CA &ndash; LOCALS Only</li></ul><div>
Required Qualifications 
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications 
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul> 

Roles &amp; Responsibilities 
Role Overview 
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div> 
Key Responsibilities 
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Sr. AI/ML Engineer-4

Uber

<div>About the Team
 
 
The Maps Search team powers location search and discovery across Uber's ecosystem - enabling pickup and dropoff location search &amp; recommendations for Rides, Eats and other lines of business. This is a full-stack, high-impact team building cutting-edge ML models for retrieval and ranking, planet-scale distributed systems operating at ultra-low latency, and seamless mobile experiences that define how users discover places and interact with the map. Search is a mission-critical surface that directly impacts conversion, reliability, and consumer growth.
 
 
About the Role
 
 
As the Senior Engineering Manager, you will lead the entire Maps Search organization (~20 engineers and managers across San Francisco and Toronto at present). This exciting role sits at the intersection of ML/AI innovation, distributed systems, and user experience. Your leadership will directly influence business growth and reliability of one of Uber's most critical entry points.
 
 
What You'll Do
<ul><li>Partner deeply with Product, Applied Science, and other teams at Uber to define strategy &amp; drive execution on company-critical initiatives.
</li><li>Set the multi-year technical vision and strategy for Maps search and recommendations across Uber
</li><li>Raise the bar on ML innovation and platform reliability at global scale
</li><li>Build and mentor a strong bench of engineering leaders (EMs &amp; Tech leads).
</li></ul>Basic Qualifications
<ul><li>10+ years of software engineering experience, including significant experience building or leading ML/AI or optimization-driven systems
</li><li>5+ years of engineering management experience, including managing managers or tech leads
</li><li>Experience leading multi-disciplinary teams (backend services + ML/AI required; mobile experience a plus)
</li><li>Track record of leading mission-critical, consumer-facing products or platforms in close partnership with cross-functional stakeholders
</li><li>Demonstrate experience in developing and retaining high-performing engineering teams.
</li></ul>Preferred Qualifications
<ul><li>Experience leading large-scale search, ranking, retrieval, or recommendation systems in production
</li><li>Experience taking search or recommendation products from early prototypes to scaled, consumer-facing platforms
</li><li>Demonstrated ability to influence product and business strategy beyond immediate organizational scope
</li><li>Experience leading multi-geography engineering organizations
</li>Strong track record of hiring, mentoring, and developing senior engineering leaders (EMs, Staff+ engineers) 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Sr Engineering Manager, Maps Search

About the team
 
The Safety Systems org ensures that OpenAI’s most capable models can be responsibly developed and deployed. We build evaluations, safeguards, and safety frameworks that help our models behave as intended in real-world settings.
 
The Preparedness team is an important part of the
 
Safety Systems
 
org at OpenAI, and is guided by OpenAI’s
 
Preparedness Framework
 
.
 
Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.
 
The mission of the Preparedness team is to: 
Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards risks whose impact could be catastrophic
 
Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and to safely handle the development of powerful AI systems
 
Preparedness tightly connects capability assessment, evaluations, and internal red teaming, and mitigations for frontier models, as well as overall coordination on AGI preparedness. This is fast paced, exciting work that has far reaching importance for the company and for society.
 
About the role
 
This role leads the Automated Red Teaming (ART) effort: building scalable, research-driven systems that continuously discover failure modes in our models and mitigations — and translate those findings into actionable, production-facing improvements. The goal is to maximize counterfactual reduction in expected harm by finding the highest-leverage, least-covered weaknesses early and reliably.
 
In this role you will
 
You will own the research and technical direction for automated red teaming across catastrophic risk areas, with an initial emphasis on:
 
Automated classifier jailbreak discovery (cyber and bio)
 
Automated bio threat-development elicitation (worst-feasible planning uplift)
 
CoT monitoring evasion probing (and adjacent loss-of-control evaluations)
 
You will partner tightly with: 
Vertical risk teams (Cyber, Bio, Loss of Control) to define threat models, prioritize targets, and land mitigations
 
The Classifiers team to turn discovered attacks into training data, evals, and measurable robustness gains
 
Product / eng / safety stakeholders to ensure ART outputs are operationally useful (not just interesting)
 
You might thrive in this role if you: 
Feel a strong pull toward AI safety, and you’re motivated by reducing real-world catastrophic risk (not just publishing cool results).
 
Love breaking systems (responsibly) — you get energy from finding weird, high-severity failure modes and turning them into concrete fixes.
 
Have strong applied research instincts, especially around evaluations: you’re good at designing experiments that are reproducible, interpretable, and hard to fool.
 
Bring hands-on experience with LLMs and agents, including multi-turn behaviors, tool use, and the ways models adapt to constraints.
 
Are comfortable building scalable automation, not just prototypes — you can turn red-teaming ideas into pipelines that run continuously and produce high-signal outputs.
 
Have solid software engineering fundamentals (data structures, algorithms, testing discipline) and you can work effectively in a production-adjacent environment.
 
Think in threat models and incentives, and you naturally ask “what would an attacker do next?” or “how would this fail under pressure?”
 
Can translate messy findings into action, communicating clearly with researchers, engineers, product, and policy — and driving alignment on what to fix first.
 
Care about efficiency and prioritization, and you’re happy to say “no” to low-leverage work to focus on what moves the risk needle.
 
(Nice to have) Experience in adversarial ML, security research / red teaming, abuse prevention systems, or large-scale eval infrastructure.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$295K – $445K

Researcher, Automated Red Teaming

Intuit

<div>Category Product Management
Location Mountain View, California; San Francisco, California
Job ID 19375</div>
 <div><div>Company Overview
<div>Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
</div></div><div>Job Overview
Mission: Build the future of payroll where the system does the work&mdash;a &ldquo;done-for-you, accurate payroll every time&rdquo; experience that SMBs and Mid-Market teams can trust without thinking about it.
QuickBooks already operates at massive scale (Intuit serves ~100M customers worldwide , and QuickBooks has 7M+ online subscribers ). Now we&rsquo;re taking the category we lead and turning it into the best payroll platform for Mid-Market and Enterprise, by automating the core workflows end-to-end with a mix of classic systems thinking and modern AI.
If you&rsquo;re hungry to ship, obsess over customer pain, and want to build agentic automation that customers feel in their bones&mdash;keep reading. 
Responsibilities
You&rsquo;ll own major pillars of payroll automation that remove work, reduce risk, and increase trust&mdash;across time, pay, tax, compliance, and approvals. Our products already include payroll solutions with automated tax payments and filings and integrate across QuickBooks Online/Desktop and Intuit Enterprise Suite &mdash;your job is to take this further into true &ldquo;done-for-you.&rdquo;
Examples of problems you&rsquo;ll tackle:<ul><li>
Autopilot payroll runs: detect readiness, gather missing inputs, flag anomalies, and drive approvals.</li><li>
AI-assisted accuracy: catch inconsistencies before they become pay mistakes (hours, rates, deductions, garnishments, taxes).</li><li>
Compliance that&rsquo;s invisible: proactive guardrails + &ldquo;explainability&rdquo; so admins know why something changed.</li><li>
Workflow transformation (not just AI features): simplify the underlying systems, permissions, and data models so automation is reliable at scale.</li><li>
Agent experiences: build systems that behave like a high-performing payroll admin&mdash;while customers remain in control . 
This isn&rsquo;t &ldquo;add an AI button.&rdquo; It&rsquo;s a product transformation, measured in outcomes:<ul><li>
fewer payroll exceptions</li><li>
fewer corrections / tax notices</li><li>
faster payroll completion</li><li>
higher attach/retention</li><li>
provable trust + auditability</li></ul>
Intuit is investing hard here: FY25 Online Ecosystem revenue was $8.3B , with Online Services up 19% and growth driven by money + payroll . You will be building at the center of that growth engine.</li></ul> 
Qualifications
What you&rsquo;ll do (day to day)<ul><li>
Own the vision, strategy, and roadmap for automating core payroll workflows (AI + non-AI).</li><li>
Partner deeply with engineering, data science, design, research, compliance/legal, and GTM.</li><li>
Define &ldquo;done-for-you&rdquo; experiences with crisp success metrics, experimentation plans, and learnings.</li><li>
Drive system-level improvements (workflow redesign, data quality, controls) that make automation dependable.</li><li>
Build with a responsible AI mindset: human-in-the-loop where needed, clear approvals, strong evaluation loops.</li></ul>
Who we&rsquo;re looking for
You might be the one if you:<ul><li>
Have strong product judgment and love simplifying messy, high-stakes workflows.</li><li>
Can operate in ambiguity, move fast, and still build durable systems (accuracy matters here).</li><li>
Are comfortable partnering with technical teams on ML/LLM-powered automation, data pipelines, evaluation, and rollout strategy.</li><li>
Have a history of shaping successful products during 5+ years experience in product management
</li><li>Know how to turn customer pain into an execution plan&mdash;and then ship relentlessly.</li></ul> 
Bonus points<ul><li>
Payroll, HR, benefits, time tracking, fintech, compliance, or other regulated workflow experience.</li><li>
You&rsquo;ve shipped automation/agentic products with measurable trust + quality improvements.</li><li>
Background in computer science or other technical background allowing you to partner effectively with our engineering team 
</li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</div></div>

Staff Product Manager - Done for you Payroll experiences

Zendesk

<div><h2 class="jobSectionHeader">Job Description
</h2>Role: Machine Learning Engineer
TBH#:
Location: US 
 
Zendesk&rsquo;s people have one goal in mind: to make Customer Experience better. 
 
The Enterprise Machine Learning team drives organizational value through scalable ML solutions and data-driven insights, fundamentally changing how business decisions are made. We collaborate closely with stakeholders, applying the latest advances in machine learning, deep learning, and large language models (LLMs) to create highly impactful outcomes. Our commitment is to advance the state of AI, statistical modeling, and robust system design to enhance and expand our core business capabilities.
<h3 class="jobSectionHeader">Role Overview
</h3>As a Machine Learning Engineer, you will serve as a technical and strategic member within the team, driving the development and deployment of advanced data science and machine learning solutions&mdash;particularly those harnessing LLMs and deep learning. You will architect and scale ML systems, foster effective cross-functional collaborations, and ensure that business value is embedded in every technical decision. Your business acumen allows you to translate complex analytical approaches into actionable insights and stakeholder-friendly narratives, strengthening partnership and adoption across the enterprise.
<h3 class="jobSectionHeader">Key Responsibilities
</h3><ul><li>Drive the design, development, and deployment of advanced ML and AI solutions, with an emphasis on large language models (LLMs), deep learning architectures, and sophisticated statistical modeling.
</li><li>Build scalable, robust data science systems&mdash;from data ingestion, data curation, data modeling to algorithm development, model deployment and monitoring&mdash;meeting enterprise-grade performance, reliability, and compliance standards.
</li><li>Act as a subject matter expert, collaborating with data scientists, ML engineers, analysts, and business stakeholders to understand needs, define requirements, and deliver practical solutions with measurable business impact.
</li><li>Effectively articulate complex technical concepts to non-technical partners, bridging gaps between technical teams and business operations for maximum results.
</li><li>Drive adoption of best practices in MLOps, including CI/CD pipelines, containerization, orchestration, observability, and reproducibility.
</li><li>Oversee and enhance the integrity, security, and compliance of all data science workflows and contracts.
</li><li>Stay abreast of the latest industry advancements in ML, LLMs, deep learning, cloud data engineering, and MLOps solutions (AWS, Kubernetes, Snowflake, etc.).
</li><li>Fostering technical excellence and ensuring alignment with business objectives.
</li></ul><h3 class="jobSectionHeader">What We&rsquo;re Looking For
</h3><ul><li>Education &amp; Experience:
<ul><li>3+ years&rsquo; experience in Data Science, Machine Learning, or a related field
</li><li>BA/BS in Computer Science, Data Science, or related discipline (advanced degree is highly preferred)
</li></ul></li><li>Technical Expertise:
<ul><li>Deep expertise in statistical modeling, machine learning, and deep learning (including practical experience with LLMs and transformers)
</li><li>Strong programming skills (Python preferred; Java, Scala, or similar also valued)
</li><li>Proven ability to build and optimize scalable data science solutions&mdash;end-to-end&mdash;from data pipelines (dbt, Astronomer, Snowflake, AWS) to deployment and monitoring (Docker, Kubernetes, CI/CD, MLOps best practices)
</li><li>Experience handling and analyzing large datasets, with a preference for experience in cloud data warehouses (Snowflake)
</li></ul></li><li>Business Acumen:
<ul><li>Demonstrated success in translating business needs into analytical solutions, driving quantifiable impact
</li><li>Strong stakeholder engagement skills, with a track record of building trusted business partnerships and driving adoption of data science initiatives
</li></ul></li><li>Communication &amp; Collaboration:
<ul><li>Exceptional ability to simplify and communicate complex data science concepts to technical and non-technical audiences alike
</li><li>Experience working cross-functionally with engineers, analysts, and product leaders
</li><li>Steadfast commitment to continuous learning, collaboration, and fostering an inclusive, innovative team environment
</li></ul></li></ul><h3 class="jobSectionHeader">Why You&rsquo;ll Thrive Here
</h3><ul><li>Opportunity to develop and scale of LLM and deep learning solutions with real-world business impact
</li><li>An environment that values innovation, ownership, and professional growth
</li><li>The chance to work on high-visibility, high-impact projects at scale alongside a passionate multidisciplinary team 
</li></ul> 
 
Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America. Learn more at www.zendesk.com . 
 
Individuals seeking employment at Zendesk are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.
The US annualized base salary range for this position is $206,000.00-$308,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
Zendesk is an equal opportunity employer, and we&rsquo;re proud of our ongoing efforts to foster global diversity, equity, &amp; inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.</div>

Senior Machine Learning Engineer

Adobe

The Opportunity
 We are the market leader in software products and services for the creative, GenAI & marketing ecosystem with Creative Cloud, Document Cloud, Express, Firefly, and Experience Cloud.
 
Adobe Firefly Foundry allows global brands to leverage the incredible power of GenAI to transform the way they create content. As a Foundry Engagement Manager, you are the connective tissue across customer leadership, product, engineering, and go-to-market teams. You turn high potential opportunities into measurable value fast, guiding customers from discovery to adoption while building trust and momentum for this GenAI transformation.
 
What You’ll Do
 
Drive enterprise scale content creation transformations using Adobe’s Generative AI solutions as the catalyst for organizational change.
 
Build trust, confidence, and advocacy for the project/program team across executive and practitioner stakeholders.
 
Lead in both presales and post-sales contexts—staying ahead of meetings and milestones, orchestrating cross functional work, and ensuring accurate, on-time delivery.
 
Establish executive communication cadences that showcase progress and value, maintaining enthusiasm for GenAI transformation within a clear governance framework.
 
Monitor implementation progress against business goals, adjusting strategies to overcome adoption barriers and improve value realization.
 
Proactively handle customer issues and challenges, developing mitigation strategies before they impact project success or customer happiness.
 
Partner with GTM and Sales Operations to triage, validate, and progress specific Foundry opportunities, aligning the right SMEs and accelerating pipeline movement.
 
Facilitate use case discovery workshops; translate business objectives into requirements for forward deployed engineers and researchers; guide configuration, deployment, and adoption.
 
Ensure successful pre-to-post sales handoff so delivery teams start with complete customer context (contacts, use cases, urgency), milestones, progress reporting, and risk controls and can hit the ground running.
 
Partner with executive sponsors to define success metrics and sustain commitment
 
Drive adoption through enablement sessions and demos in collaboration with Customer Success and Enablement.
 
Maintain single source of truth visibility using a centralized hub for pipeline and engagement assets.
 
Keep leadership informed with forecast and progress reporting.
 
Attend key on-sites/workshops to ensure alignment, track action items, and keep teams moving toward target go-live dates.
 
What You Bring
 
Customer centric: deep empathy for stakeholder goals and the dynamics of enterprise relationships.
 
Project leadership: fluent across waterfall and agile; skilled in planning, scheduling, and orchestrating cross functionally.
 
Proactive risk management: can distinguish signal from noise, surface risks early, and drive them to resolution.
 
Technical acumen (pragmatic): working understanding of SaaS and modern software delivery to credibly connect business outcomes to technical reality.
 
Demonstrated success leading digital transformation for enterprise clients across industries; product and humancentric approach at the intersection of business, design, and technology.
 
Hands-on with Agile/Scrum and tools like SharePoint, Jira, Workfront, Miro, Confluence, and AI tools.
 
Knowledge of Adobe Creative Cloud, Firefly/Firefly Services, a plus. Prior experience in a creative team is a plus.
 
4–7+ years across business consulting, digital strategy, agile pod-based software delivery, enterprise software, AI/ML, cloud deployments, and data integration.
 
Traits that thrive here: low ego, proactive nature, cross-functional collaborator, “around-the-corner” thinker, founder-style ownership, and strong autonomous execution.
 About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
 
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $125,500 -- $226,700 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
In California, the pay range for this position is $156,500 - $226,700
 In New York, the pay range for this position is $156,500 - $226,700
 
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
State-Specific Notices: 
California : 
Fair Chance Ordinances
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
 
Colorado: 
Application Window Notice
 
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
Massachusetts: 
Massachusetts Legal Notice
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Senior Engagement Manager, Firefly Foundry

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