principal ai engineer Jobs in San Francisco

principal ai engineer

ai customer education lead Jobs in San Francisco

ai customer education lead

ai customer strategy lead Jobs in San Francisco

ai customer strategy lead

ai engineering lead Jobs in San Francisco

ai engineering lead

ai transformation specialist Jobs in San Francisco

ai transformation specialist

ai transformation lead

Broccoli AI

<div><h2 class="jobSectionHeader">About Broccoli AI</h2>
Broccoli AI is building the AI operating system for home service businesses.
We work with plumbing, HVAC, and electrical contractors &mdash; the people who keep homes running &mdash; and we replace fragmented tools and manual workflows with AI agents that actually do the work.
Our AI assistants answer phones, book jobs, follow up with customers, and drive revenue, fully integrated into systems like ServiceTitan.
We started by going door-to-door, meeting 100+ contractors, and understanding how these businesses actually run. That shaped everything we&rsquo;ve built. Today:<ul><li>
Hundreds of contractors use Broccoli to run their front office</li><li>
We&rsquo;ve grown from $0 to millions in ARR in under a year</li><li>
We&rsquo;re trusted by both single-location operators and the largest PE-backed roll-ups</li><li>
Raised $25M+ from Khosla Ventures and YC</li></ul><div> 
</div><h2 class="jobSectionHeader">
The Role</h2>
We&rsquo;re hiring an AI Customer Strategy Lead to get customers live on our platform and make it deliver real value in their business.
This is the work that turns a signed contract into a customer who runs their front office on our platform. You&rsquo;ll own the rollout end to end: understand how each business operates, configure and launch the platform to fit it, drive adoption across the front office and technicians, and prove the impact in the customer&rsquo;s own numbers. You won&rsquo;t do it alone &mdash; you&rsquo;ll partner closely with our forward-deployed engineers, who handle the deep technical build while you own the customer, the configuration, and the outcome. You&rsquo;ll do this across a portfolio of customers at once, and you&rsquo;ll help shape the playbook and delivery model that let us do it well at scale.
The best person for this has done implementation or deployment before at a company where getting customers live and adopting was the product. This is hands-on transformation work &mdash; you own the rollout and the outcome, not a set of recommendations. You understand SMB operators, you&rsquo;re comfortable in the data, and you measure yourself by whether the customer is genuinely better off. It&rsquo;s an early, high-ownership role with real room to grow as we scale.<div> 
</div><h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Own the rollout. Take customers from signed to fully live on the platform &mdash; scoping, configuration, launch, and adoption across the front office, technicians, and locations.</li><li>
Learn the business first. Understand how each customer actually operates, then set up the platform to fit the way they work.</li><li>
Drive adoption and value. Make sure customers are using the platform deeply and getting real results &mdash; and quantify it in hard numbers (ROI, revenue, conversion, labor savings).</li><li>
Manage a portfolio. Run multiple customer rollouts at once, keeping each on track to go-live and to value.</li><li>
Be the customer&rsquo;s trusted partner. Build the relationship, run the day-to-day, and turn frontline results into reporting their leadership trusts.</li><li>
Partner with engineering. Work hand in hand with our forward-deployed engineers &mdash; they handle the deep technical build, you own the customer, the configuration, and the outcome.</li><li>
Influence the playbook and delivery model. Turn what works in the field into repeatable practices that shape how we deliver the platform as we scale.</li><li>
Feed the field back to Product. Turn what you learn on the ground into signal that shapes the roadmap and how we deliver.</li></ul><div> 
</div><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2><ul><li>
4&ndash;8+ years in implementation, onboarding, deployment, or platform migration at a high-growth software or ops-heavy company (e.g., ServiceTitan, Toast, Rippling, or similar).</li><li>
Also a fit: technology-transformation or systems-implementation consulting (e.g., Deloitte, Accenture) where you ran the rollout rather than advised, or an engineering/technical background you&rsquo;ve turned toward customers and business outcomes.</li><li>
A track record of getting customers live and adopting &mdash; ideally across a portfolio, and ideally with SMB or multi-location operators.</li><li>
Measurable impact you can point to: adoption, retention, time-to-value, revenue, or operational improvement you drove through execution.</li><li>
Customer obsession. You measure yourself by whether the customer is better off, and you do what it takes.</li><li>
Comfort in the data yourself &mdash; you can pull the numbers, show the impact, and tell the story.</li><li>
Strong presence with both senior leaders and frontline operators; you can earn a shop owner&rsquo;s trust as easily as an executive&rsquo;s.</li><li>
An AI-native mindset. You use AI tools daily and have strong intuition for how AI reshapes the way a business runs.</li><li>
Excited to work in person 5 days a week in San Francisco with the team.</li></ul><div> 
</div><h2 class="jobSectionHeader">
Bonus Points</h2><ul><li>
You&rsquo;ve owned a platform migration or major product rollout across many customers or locations.</li><li>
Experience in home services, field services, restaurants, retail, or other multi-location / SMB-dense industries.</li><li>
Startup experience.</li></ul><div></div> 
Broccoli is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws.</div>

AI Transformation Lead

<div><h2 class="jobSectionHeader">About Broccoli AI</h2>
Broccoli AI is building the AI operating system for home service businesses.
We work with plumbing, HVAC, and electrical contractors &mdash; the people who keep homes running &mdash; and we replace fragmented tools and manual workflows with AI agents that actually do the work.
Our AI assistants answer phones, book jobs, follow up with customers, and drive revenue, fully integrated into systems like ServiceTitan.
We started by going door-to-door, meeting 100+ contractors, and understanding how these businesses actually run. That shaped everything we&rsquo;ve built. Today:<ul><li>
Hundreds of contractors use Broccoli to run their front office</li><li>
We&rsquo;ve grown from $0 to millions in ARR in under a year</li><li>
We&rsquo;re trusted by both single-location operators and the largest PE-backed roll-ups</li><li>
Raised $25M+ from Khosla Ventures and YC</li></ul><h2 class="jobSectionHeader">
The Role</h2>
We&rsquo;re hiring an AI Customer Strategy Lead to get customers live on our platform and make it deliver real value in their business.
This is the work that turns a signed contract into a customer who runs their front office on our platform. You&rsquo;ll own the rollout end to end: understand how each business operates, configure and launch the platform to fit it, drive adoption across the front office and technicians, and prove the impact in the customer&rsquo;s own numbers. You won&rsquo;t do it alone &mdash; you&rsquo;ll partner closely with our forward-deployed engineers, who handle the deep technical build while you own the customer, the configuration, and the outcome. You&rsquo;ll do this across a portfolio of customers at once, and you&rsquo;ll help shape the playbook and delivery model that let us do it well at scale.
The best person for this has done implementation or deployment before at a company where getting customers live and adopting was the product. This is hands-on transformation work &mdash; you own the rollout and the outcome, not a set of recommendations. You understand SMB operators, you&rsquo;re comfortable in the data, and you measure yourself by whether the customer is genuinely better off. It&rsquo;s an early, high-ownership role with real room to grow as we scale.<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Own the rollout. Take customers from signed to fully live on the platform &mdash; scoping, configuration, launch, and adoption across the front office, technicians, and locations.</li><li>
Learn the business first. Understand how each customer actually operates, then set up the platform to fit the way they work.</li><li>
Drive adoption and value. Make sure customers are using the platform deeply and getting real results &mdash; and quantify it in hard numbers (ROI, revenue, conversion, labor savings).</li><li>
Manage a portfolio. Run multiple customer rollouts at once, keeping each on track to go-live and to value.</li><li>
Be the customer&rsquo;s trusted partner. Build the relationship, run the day-to-day, and turn frontline results into reporting their leadership trusts.</li><li>
Partner with engineering. Work hand in hand with our forward-deployed engineers &mdash; they handle the deep technical build, you own the customer, the configuration, and the outcome.</li><li>
Influence the playbook and delivery model. Turn what works in the field into repeatable practices that shape how we deliver the platform as we scale.</li><li>
Feed the field back to Product. Turn what you learn on the ground into signal that shapes the roadmap and how we deliver.</li></ul><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2><ul><li>
4&ndash;8+ years in implementation, onboarding, deployment, or platform migration at a high-growth software or ops-heavy company (e.g., ServiceTitan, Toast, Rippling, or similar).</li><li>
Also a fit: technology-transformation or systems-implementation consulting (e.g., Deloitte, Accenture) where you ran the rollout rather than advised, or an engineering/technical background you&rsquo;ve turned toward customers and business outcomes.</li><li>
A track record of getting customers live and adopting &mdash; ideally across a portfolio, and ideally with SMB or multi-location operators.</li><li>
Measurable impact you can point to: adoption, retention, time-to-value, revenue, or operational improvement you drove through execution.</li><li>
Customer obsession. You measure yourself by whether the customer is better off, and you do what it takes.</li><li>
Comfort in the data yourself &mdash; you can pull the numbers, show the impact, and tell the story.</li><li>
Strong presence with both senior leaders and frontline operators; you can earn a shop owner&rsquo;s trust as easily as an executive&rsquo;s.</li><li>
An AI-native mindset. You use AI tools daily and have strong intuition for how AI reshapes the way a business runs.</li><li>
Excited to work in person 5 days a week in San Francisco with the team.</li></ul><h2 class="jobSectionHeader">
Bonus Points</h2><ul><li>
You&rsquo;ve owned a platform migration or major product rollout across many customers or locations.</li><li>
Experience in home services, field services, restaurants, retail, or other multi-location / SMB-dense industries.</li><li>
Startup experience.</li></ul><div></div> 
Broccoli is an equal-opportunity employer and complies with all applicable federal, state, and local fair employment practice laws.</div>

AI Customer Strategy Lead

Stitch Fix

<div><div><h3 class="jobSectionHeader">About Stitch Fix, Inc.
</h3>Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we're equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what's possible for our clients, while we help you reach your full potential.</div> 

<h1 class="jobSectionHeader">
About the Role</h1>

The Client Experience Product Algorithms team is responsible for the machine learning, AI, experimentation, and product analytics capabilities that power personalized experiences for Stitch Fix clients and stylists. Partnering across Product, Engineering, Design, Styling, Marketing, Merchandising, Finance, Enterprise Analytics, Data Platform, and DSN, the team translates data and algorithms into measurable business impact.

As Director, Product Algorithms, you will lead the strategy, execution, and people behind our Growth, Styling, and Fix &amp; Freestyle Algorithms portfolios. You'll define how AI, machine learning, experimentation, and analytics shape the future of personalized shopping while building the operating discipline, technical excellence, and cross-functional alignment needed to deliver scalable business results.
<h2 class="jobSectionHeader">
Responsibilities</h2>
<ul><li>Lead the Product Algorithms portfolio across Growth, Styling, and Fix &amp; Freestyle, setting strategy and driving measurable outcomes across acquisition, engagement, retention, styling quality, Fix, Freestyle, outfitting, and related commerce experiences.</li>
<li>Define the vision and roadmap for applying data science, machine learning, AI, experimentation, and product analytics to improve client experiences, stylist effectiveness, and business performance.</li>
<li>Drive innovation by identifying, evaluating, and scaling modern AI, machine learning, personalization, and experimentation techniques that create meaningful impact while balancing technical feasibility, execution capacity, and business priorities.</li>
<li>Strengthen organizational effectiveness by improving planning, prioritization, experimentation practices, product analytics capabilities, operational readiness, incident management, and cross-functional decision making across the portfolio.</li>
<li>Build and develop a high-performing organization of managers and senior individual contributors, fostering technical excellence, strong product leadership, accountability, and collaborative partnerships while representing Product Algorithms with executive stakeholders.</li>
</ul><h2 class="jobSectionHeader">How AI and Tools Show Up in Your Day-to-Day Work</h2>
<ul><li>Use AI-powered tools (such as ChatGPT, GitHub Copilot, and other emerging technologies) to improve decision making, productivity, communication, and operational efficiency.</li>
<li>Leverage experimentation platforms, analytics tools, machine learning infrastructure, and product development systems to guide roadmap decisions and measure business impact.</li>
<li>Continuously evaluate and adopt new AI capabilities, technologies, and ways of working that improve team effectiveness and accelerate innovation.</li>
</ul><h1 class="jobSectionHeader">About You</h1>

You are a strategic technical leader who combines deep expertise in machine learning and AI with exceptional product thinking, organizational leadership, and business judgment. You thrive in highly collaborative environments, enjoy solving ambiguous problems, and know how to translate emerging technologies into measurable customer and business outcomes.
<h2 class="jobSectionHeader">
Requirements</h2>
<ul><li>Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative field; advanced degree preferred.</li>
<li>10+ years of experience in data science, machine learning, experimentation, product analytics, AI, or algorithmic product development, including 5+ years leading teams and experience managing managers or senior technical leaders.</li>
<li>Demonstrated success defining strategy and delivering production machine learning, AI, personalization, or experimentation capabilities that drive measurable product and business outcomes.</li>
<li>Strong technical fluency across modern machine learning, generative AI/LLMs, experimentation methodologies, product analytics, and production algorithmic systems.</li>
<li>Experience building cross-functional partnerships with Product, Engineering, Design, Analytics, Data Platform, Marketing, Merchandising, Finance, and executive stakeholders.</li>
<li>Exceptional strategic thinking, communication, prioritization, problem-solving, and organizational leadership skills, with the ability to influence across technical and non-technical audiences.</li>
<li>Experience using AI tools (such as ChatGPT, GitHub Copilot, or similar technologies) to improve productivity, decision making, collaboration, and the quality of work.</li>
<li>This position requires the ability to sit for extended periods of time, use a computer and standard office equipment, and communicate effectively in both written and verbal formats.</li>
</ul><h2 class="jobSectionHeader">Nice to Have</h2>
<ul><li>Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, Operations Research, Engineering, or a related field.</li>
<li>Experience leading AI- or ML-driven consumer products within e-commerce, marketplaces, retail, recommendations, personalization, or digital consumer experiences.</li>
<li>Experience building or evolving experimentation platforms, product analytics capabilities, or AI governance and operational excellence practices.</li>
<li>Familiarity with large-scale recommendation systems, ranking models, generative AI applications, causal inference, optimization, or reinforcement learning.</li>
<li>Experience leading organizations through significant technical transformation, organizational scaling, or AI adoption initiatives.</li>
</ul><div>
This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.

Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policy

Recruiting Fraud Alert:

To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.

Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com.</div></div>

Director, Data Science & Algorithms - CX Product Experiences

FRONT

<div>Front is the customer operations platform built for B2B complexity, keeping every team, tool, and customer conversation in sync so companies can scale without losing connection. Others handle simple interactions. Front handles the coordination and context behind complex B2B customer relationships. Over 9,000 companies, including Uber Freight, Navan, and Stripe, rely on Front because it's the only one that can run the operational layer that makes customer-facing work actually succeed.
Backed by Sequoia Capital and Salesforce Ventures, Front has raised $204M from leading venture capital firms and independent investors including top executives at Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Front has received numerous Great Place to Work accolades, including Built In's 100 Best Midsize Places to Work in SF 2025, Top Places to Work by USA Today 2025, Y Combinator's list of Top Companies in 2023, #4 on Fortune&rsquo;s Best Workplaces in the Bay Area ,Inc. Magazine's 2022 Best Workplaces list, and Forbes Best Startup Employers 2022 List.
AI is transforming customer support and, with over 12 years of experience building customer operations solutions, Front is in a unique position to shape this transformation. The Core AI team at Front leverages AI to build functionality across the entire breadth of the product. Our workflow automations, agent assistance and operational insights have only scratched the surface, and user engagement is already extremely promising. This role would have the opportunity to get in at the ground floor and significantly influence the direction of the product as we scale.
What will you be doing?<ul><li>
Design, develop, and deploy generative AI applications using NodeJS &amp; TS that enhance product features and user experiences, focusing on agentic applications to automate resolving user inquiries.</li><li>
Collaborate with product teams to identify opportunities for applying generative AI to solve user needs and improve the platform's capabilities.</li><li>
Lead the exploration and implementation of state-of-the-art generative AI techniques, ensuring Front stays ahead of technological trends.</li><li>
Inform on AI model training and deployment infrastructure, ensuring scalability and efficiency.</li><li>
Dive deep into real-world data, ensuring high-quality model training and iteration</li><li>
Monitor and evaluate the performance of AI applications, making adjustments and improvements to ensure they meet our high standards.</li><li>
Keep abreast of the latest developments in machine learning and AI, advocating for best practices and integrating new technologies where appropriate.</li></ul>
What skills and experience do you need?
Must Have:<ul><li>
5+ years of experience in software development, with a strong focus on AI and machine learning projects.</li><li>
Demonstrable expertise in developing production applications using LLMs and Generative AI models, and familiarity with their underlying technologies.</li><li>
Strong experience with agentic methodologies, prompting techniques, RAG pipelines, evaluation mechanisms and fine-tuning LLMs preferred.</li><li>
High learning agility - you&rsquo;re excited when you encounter a problem you haven&rsquo;t seen before.</li><li>
Strong communication skills that illustrate a clear, structured thought process.</li></ul>
Should Have:<ul><li>
Excellent problem-solving abilities and the capacity to work both independently and as part of a team.</li><li>
Proficiency building production-grade web applications and demonstrated expertise in languages and concepts necessary to deliver these. Eg: Python, JS, TS, Database systems, etc.</li><li>
Strong communication skills, capable of explaining complex technical concepts to non-experts.</li><li>
Deep knowledge of algorithms, data structures, and principles of software engineering.</li></ul>
Nice to Have:<ul><li>
Knowledge in specialized machine learning areas (deep learning, reinforcement learning).</li><li>
Experience in SaaS or multiplayer application machine learning implementations.</li></ul>
Front operates on a hybrid model &mdash; we come together in the office each Tuesday, Wednesday, and Thursday to collaborate and stay connected.
What we offer<ul><li>
Competitive salary</li><li>
Equity (we are post-series D &amp; backed by some of the best VCs in the US)</li><li>
Private health insurance, including plan options at no cost to employees</li><li>
Paid parental leave</li><li>
Flexible time off policy</li><li>
Flexibility to work from home Monday and Friday, unless posted as a fully remote role</li><li>
Mental health support with Workplace Options</li><li>
Family planning support with Maven</li><li>
$100 per month Lifestyle Stipend to spend on fitness, health and wellness, and other activities</li><li>
Wellness Days - Fronteers get an additional day off on months with no holidays</li><li>
Winter Break - Our offices are closed from Christmas to New Year's Day!</li></ul>
Front provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. By applying, you acknowledge and agree that you have read and understand the California Recruiting Privacy Notice &amp; EU Privacy Notice
Compensation Range: $205K - $238K</div>

Senior Applied AI Engineer

Writer

<div><h3 class="jobSectionHeader">About WRITER</h3>
WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible &ndash; through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.
Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.<div> 
</div><h3 class="jobSectionHeader">
About the role</h3>
As a deployment engineer at WRITER, you'll be at the forefront of expanding human capacity through superintelligence. This isn't just a technical role; it's a deeply influential one where you'll partner directly with our leading enterprise customers. Your expertise will be crucial in uncovering their unique business challenges and architecting AI-powered solutions that leverage our powerful platform and enterprise-grade LLMs. You'll transform complex needs into tangible, high-impact applications, creating champions and driving tangible business results. Your builder's mentality and passion for bringing cutting-edge AI into the hands of real users will directly shape the future of work for some of the world's largest companies.
This is a critical role that directly impacts our customers' success and product evolution. You'll contribute significantly to WRITER's mission, working with a dynamic team to push the boundaries of what's possible with generative AI.
This is a hybrid role based out of our San Francisco, Chicago, Austin, New York City, Seattle, and London hubs.<div> 
</div><h3 class="jobSectionHeader">
What you'll do</h3><ul><li>
Partner deeply with enterprise customers to identify strategic AI use cases, validating technical feasibility and owning the end-to-end implementation of tailored solutions</li><li>
Architect and deliver custom applications, templates, and integrations leveraging WRITER's platform, APIs, and Knowledge Graph capabilities to solve complex business challenges</li><li>
Translate intricate technical concepts and platform capabilities into clear, prescriptive solution recommendations, guiding customers through the generative AI landscape</li><li>
Collaborate relentlessly with internal Product and Engineering teams, providing crucial customer feedback that directly influences our product roadmap and drives continuous innovation</li><li>
Drive down customer time-to-value by developing scalable processes, robust documentation, and efficient workflows for technical integrations</li><li>
Champion the successful adoption and expansion of WRITER's AI solutions within customer accounts, ensuring maximum impact and return on investment</li></ul><div> 
</div><h3 class="jobSectionHeader">
️ What you need</h3><ul><li>
Over 5 years of hands-on experience in technical SaaS roles, with at least 3 years specifically in solutions architecture, technical consulting, or technical account management</li><li>
Deep technical fluency in Python and extensive experience leveraging APIs, especially in designing sophisticated prompts and understanding linguistic principles for AI applications</li><li>
Proven track record of architecting and delivering complex technical solutions for Fortune 500 enterprises in a fast-paced, high-growth B2B SaaS environment</li><li>
Exceptional communication and executive presence, capable of simplifying complex AI concepts for diverse audiences, from technical teams to C-suite leadership</li><li>
A true builder's mindset with a passion for emerging technologies, always eager to experiment, learn, and iterate in the rapidly evolving world of generative AI</li><li>
A relentless drive to Connect with customers and internal teams, Challenge the status status quo with innovative solutions, and Own the successful outcomes for our most strategic accounts</li></ul> 
Benefits &amp; perks (US Full-time employees)<ul><li>
Generous PTO, plus company holidays</li><li>
Medical, dental, and vision coverage for you and your family</li><li>
Paid parental leave for all parents (16 weeks)</li><li>
Fertility and family planning support</li><li>
Early-detection cancer testing through Galleri</li><li>
Flexible spending account and dependent FSA options</li><li>
Health savings account for eligible plans with company contribution</li><li>
Annual work-life stipends for:<ul><li>
Wellness stipend for gym, massage/chiropractor, personal training, etc.</li><li>
Learning and development stipend</li></ul></li><li>
Company-wide off-sites and team off-sites</li><li>
Competitive compensation, company stock options and 401k</li></ul>
WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.
Compensation Range: $131.8K - $185K</div>

AI deployment engineer (West)

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">Location</h2>
</div><div>San Francisco CA
</div></div><div><div><h2 class="jobSectionHeader">Your Role</h2>
</div><div>The GenAI Engineer / Data Scientist is responsible for designing, developing, deploying, and maintaining Generative AI (GenAI) and Predictive AI solutions that deliver business value. The role requires expertise in AI/ML, cloud platforms, APIs, data engineering, MLOps, and AI agent workflows, with a strong focus on production-grade AI implementation. 
 
Key Responsibilities 
 
Develop and deploy Generative AI solutions (GPT, Claude, Stable Diffusion) and Predictive AI models (regression, classification, clustering).
 
Design and integrate AI applications using REST APIs, authentication mechanisms, JSON services, and cloud-based architectures.
 
Build and support AI agents, autonomous systems, and agentic workflows.
 
Deploy, monitor, and optimize AI models in production using MLOps practices.
 
Design and maintain data pipelines, data lakes, and data warehouses.
 
Monitor model performance, troubleshoot issues, and manage data/model drift.
 
Collaborate with business and technical teams to align AI solutions with organizational objectives.
 
Create reusable assets, demos, and proof-of-concepts to support innovation and business development. 
 
 
</div></div><div><div><h2 class="jobSectionHeader">Required Skills and Experience
</h2></div><div>A hands-on AI professional with strong expertise in Generative AI, Machine Learning, Python, Cloud Technologies, APIs, MLOps, Data Engineering, and AI Agents, capable of building and scaling enterprise-grade AI solutions from development to production.
 
Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field.
 
3-5 years of experience in AI, Machine Learning, Data Science, or Application Development.
 
Experience with production AI deployments, MLOps, model monitoring, and cloud platforms.
GPT, Claude LLM, Stable Diffusion
 
LangChain
 
TensorFlow
 
PyTorch
 
Scikit-learn
 
RAG (Retrieval-Augmented Generation)
 
AI Agents &amp; Agentic Workflows
 
API Development
 
REST APIs
 
JSON
 
HTTP Requests
 
Authentication &amp; Tokens
 
Error Handling &amp; Debugging 
 
 
 
 
</div></div></div>The base compensation range for this role in the posted location is $90,000- $160,000
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.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
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>

Data Scientist/ AI Engineer

Elevenlabs

<div><h2 class="jobSectionHeader">About ElevenLabs</h2>
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. 
 
We have expanded from voice into three main platforms:<ul><li>
ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.</li><li>
ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.</li><li>
ElevenAPI gives developers access to our leading AI audio foundational models.</li></ul>
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.<h2 class="jobSectionHeader">
How we work</h2><ul><li>
High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.</li><li>
Impact not job titles: We don&rsquo;t have job titles. Instead, it&rsquo;s about the impact you have. No task is above or beneath you.</li><li>
AI first: We use AI to move faster with higher-quality results. We do this across the whole company&mdash;from engineering to growth to operations.</li><li>
Excellence everywhere: Everything we do should match the quality of our AI models.</li><li>
Global team: We prioritize your talent, not your location.</li></ul><h2 class="jobSectionHeader">
What we offer</h2><ul><li>
Innovative culture: You&rsquo;ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what&rsquo;s possible.</li><li>
Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.</li><li>
Learning &amp; development: ElevenLabs proactively supports professional development through an annual discretionary stipend.</li><li>
Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.</li><li>
Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.</li><li>
Co-working: If you&rsquo;re not located near one of our main hubs, we offer a monthly co-working stipend.</li></ul><h2 class="jobSectionHeader">
About the Role</h2>
As Mid-Market Lead, you will be the strategic driver behind scaling and optimizing our Mid-Market AE organization. You&rsquo;ll own revenue outcomes and team performance across our Mid-Market segment, with a strong focus on building repeatable, high-velocity sales motions. This role blends hands-on leadership with strategic execution in a fast-growing environment.
In this role, you will:<ul><li>
Define and execute the go-to-market strategy for U.S. Mid-Market accounts, including quotas, segmentation, and territory design.</li><li>
Lead, coach, and scale a team of Mid-Market AEs, owning recruiting, onboarding, enablement, and performance management.</li><li>
Own pipeline health and forecasting, driving consistency and improving conversion rates across each stage of the funnel.</li><li>
Develop and refine sales playbooks, motions, objection frameworks, and deal models tailored to Mid-Market buyers and voice AI / conversational use cases.</li><li>
Partner cross-functionally with Marketing, Product, Growth, and Customer Success to align positioning, messaging, and expansion opportunities.</li><li>
Establish feedback loops by synthesizing insights from prospects and customers to help inform GTM strategy and product roadmap decisions.</li></ul><h2 class="jobSectionHeader">
Requirements</h2><ul><li>
7+ years of SaaS or technology sales experience, with meaningful experience leading or scaling Mid-Market AE teams.</li><li>
Demonstrated success surpassing revenue targets in a Mid-Market or velocity-oriented sales environment.</li><li>
Strong command of sales metrics, funnel optimization, forecasting, and process rigor.</li><li>
Experience selling technical, AI, or API-driven solutions to Director- and VP-level stakeholders.</li><li>
Excellent communication skills and ability to influence across teams and seniority levels.</li><li>
Comfortable operating in fast-paced, ambiguous, high-growth environments with high ownership.</li></ul><h2 class="jobSectionHeader">
Location</h2>
This role is remote across the US, with the option to work from our San Francisco or New York offices if preferred.
#LI-remote</div>

Account Executive Lead - North America - Mid-Market

Explore 55+ Ai transformation lead in San Francisco this August. Find roles across top companies and apply now to boost your career.