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ai deployment engineer west

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)

OpenAI

<div>
 
 About The Team
 
 
 
 The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.
 
 
 TLDR: this team leverages OpenAI technology to improve OpenAI, and you&rsquo;ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a
 
 Backend Software Engineer
 
 with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI&rsquo;s support automation. This is a deeply technical and highly cross-functional role where you&rsquo;ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Design eval pipelines that are reliable, reproducible, and extendable
 </li>
 <li>
 Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation
 </li>
 <li>
 Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems
 </li>
 <li>
 Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.
 </li>
 <li>
 Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows
 </li>
 <li>
 Own the full development lifecycle of new backend systems and internal platform capabilities
 </li>
 <li>
 Build with scale and maintainability in mind, while rapidly iterating on new ideas
 
 
 </li>
 </ul>
 
 You Might Be a Great Fit If You Have
 
 
 
 <ul>
 <li>
 4+ years of backend engineering experience at product-driven companies (excluding internships)
 </li>
 <li>
 Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres
 </li>
 <li>
 Experience designing and scaling distributed systems, APIs, or data processing pipelines
 </li>
 <li>
 Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding
 </li>
 <li>
 Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.
 </li>
 <li>
 Experience creating production evals and/or measuring performance of ML/LLM models at scale
 </li>
 <li>
 A pragmatic mindset. You&rsquo;re comfortable shipping iteratively while building toward a long-term vision
 
 
 </li>
 </ul>
 
 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&rsquo;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, and requests can be made via this link.
 
 
 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 Range: $230K - $385K
 
 
</div>

Backend Software Engineer (Evals)

Arcade Food Theatre

<div>Everyone's building AI agents, but almost nobody gets them to production.
Building an impressive demo is easy. Building an AI agent that can securely take action inside enterprise systems is hard. The moment an agent accesses customer data, executes a workflow, or makes changes on behalf of a user, authorization, governance, and trust become the real engineering challenge.
Arcade is the MCP runtime that gives agents the power to do both seamlessly. We connect agents to the systems they act in, then give each one a permission slip and a paper trail - proof of what it's allowed to do, and a record of what it did. That's what makes AI safe to turn loose: real actions, on real systems, already shipping inside Fortune 100 companies.
The Revolution Needs You
Every AI app needs agentic &quot;tools&quot; - special functions that let AI models take real actions. Without tools, AI can only chat. With tools, AI can actually do things. We're building the definitive tools catalog and tool-calling platform that will unlock AI's true potential. Think Zapier for AI Actions. Think Auth0 for AI. Think really big.
Why This Is The Opportunity of a Lifetime<ul><li>
Traction: Real deployments with Fortune-100 customers like Morgan Stanley and Open Table</li><li>
Founder-Market Fit: Our CEO previously founded Stormpath (acquired by Okta), where he created the first Authentication API for developers. He's done this before - and this time the market is 10x bigger. Our CTO led the vector database team at Redis, shipped 100+ LLM applications, and is a contributor to LangChain and LlamaIndex. He knows this space better than anyone.</li><li>
Dream Team: We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE who've built and founded multiple successful developer platforms.</li><li>
Perfect Timing: Every enterprise is racing to put agents in production - almost none get there. The problem isn't better models, it's proving which agent can take which action, on behalf of which user, against which system. That's us.</li><li>
Massive Market : We're building critical infrastructure for the biggest technological shift of our generation. Every AI app will need what we're building.</li><li>
Backed By The Best: Our Series A round is led by SYN Ventures, with strategic investment from Morgan Stanley and Wipro. Our earlier investors have also backed Databricks, Clickhouse, MongoDB, Perplexity, Cohere, ScaleAI, Confluent, Elastic, and Firebase. They see what we see - this is going to be huge.</li></ul>
The Challenge
The number of deployed Arcade customers is growing rapidly, and after a deployment goes live, someone needs to own everything that happens next. Right now that's ad hoc. We need a leader to build our support function from zero - on a product that looks nothing like typical SaaS. To help a customer succeed, you&rsquo;ll need to understand MCP, OAuth, SSO, tool-calling, and cloud infrastructure. Nobody has been debugging agent authorization at enterprise scale long enough to write the playbook for it. That bar is why Arcade is becoming core infrastructure inside Fortune-100 companies, and it's why this role matters more here than it would anywhere else.
You'll be our first support hire and own the team&rsquo;s growth and processes. For the first several months you'll be doing the L2 support work yourself while you grow the team and build the function. That&rsquo;s how you&rsquo;ll earn the pattern recognition that makes everything you design afterward correct instead of theoretical. This will include not only helping customers, but also improving our docs, configuring agentic support &amp; automations, setting SLAs, and defining escalation paths that let the team scale sub-linearly as customers grow. Do it right and support becomes a product in its own right - fast, technical, and a direct input into what we build next. You&rsquo;ll be reporting to the Head of Product because you'll have some of the strongest signals about what we should build next and we want you sitting right inside the conversation.
What You'll Do<ul><li>
Build the support function from scratch: stand up L0 (docs), L1 (AI &amp; automations), and define the routing, SLAs, and escalation paths up to FDE (L3) and Engineering (L4).</li><li>
Own L2 support: be the human escalation point for real technical issues - Okta/SSO not working, tools not getting called correctly by the LLM, gateway and user-source configuration, auth edge cases.</li><li>
Grow and lead the team. Use your experience to scale a world-class support org that customers rave about and sets the technical bar for what a support organization looks like.</li><li>
Automate aggressively so support does not need to scale with customer count. An AI-first approach is central to how you'll work.</li><li>
Partner with FDE: take over as primary customer contact after first deployment so FDE can move to the next customer; over time, absorb &quot;standard&quot; onboarding and cluster setup - especially for marketplace (AWS/Azure) deployments to make that experience seamless.</li><li>
Close the loop with Product and Engineering: turn recurring tickets and friction into prioritization signal and product fixes.</li></ul>
Required Skills<ul><li>
You've built or led a support team for a technical, B2B product.</li><li>
Strong technical fluency in infrastructure and auth - OAuth, SSO/SAML, APIs and tool-calling, cloud deployment concepts. You can debug alongside a customer, not just triage.</li><li>
A player-coach mindset: energized by doing hands-on support with customers and building the process behind it.</li><li>
Track record designing SLAs, ticket routing, and escalation in a way that balances customer empathy with business reality.</li><li>
Background in developer, infrastructure, or auth products, and the MCP/AI-agents ecosystem.</li><li>
AI-pilled: you reach for AI and automation to move fast and keep the customer experience quick.</li></ul>
Bonus Points<ul><li>
Experience supporting self-hosted enterprise customers.</li><li>
Hands-on with modern support tooling like Pylon.</li><li>
Experience with cloud marketplace deployments (AWS/Azure).</li><li>
San Francisco based (or open to relocating).</li></ul>
Join The Movement
We're not just building a product - we're leading a movement to transform AI from just chatbots to agents that can take actions against real systems. This is your chance to be at the forefront of that revolution.
If you want to look back in 5 years and say, &quot;I helped build that&quot;, then we want to talk to you. Ready to make AI actually useful? Apply now!
Compensation Range: $205K - $250K</div>

Head of Support Engineering

Artificial Analysis

<div>Job Description &ndash; Member of Technical Staff
Location: San Francisco (preferred), Sydney, Melbourne, Brisbane
About Artificial Analysis
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don&rsquo;t just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D&rsquo;Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
The Opportunity
Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. This role puts you at the forefront of the AI Frontier &ndash; you won&rsquo;t just observe the cutting edge of AI, your work will define what cutting edge means.
We&rsquo;re hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You&rsquo;ll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies.
This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines.
You&rsquo;ll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don&rsquo;t yet understand - and we&rsquo;re offering a front row seat.
What You&rsquo;ll Do<ul><li>AI Benchmarking Product Development: Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities</li><li>Strategic Analysis of AI: Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li>Partner with Leading AI Companies: Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen</li><li>Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking</li><li>Company Strategy: We are a startup and are looking for the future leaders of Artificial Analysis. Team members will be expected to contribute to company strategy and should expect to drive large initiatives that will support us in being the leading AI benchmarking company</li></ul>
What We&rsquo;re Looking For
You have an intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.
We hire MTS from three backgrounds. You should clearly fit one of these profiles:
Strategy Consulting
Backgrounds include: Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent. Strong preference will be given to candidates with experience within a Data Analytics division such as QuantumBlack, AI by McKinsey, BCG X or equivalent.
You know how to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders. You&rsquo;re now looking to apply those skills to something deeply technical. The key differentiator: you have a genuine technical interest in AI and ability to code. You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.
AI and Machine Learning
Backgrounds include: ML Engineer, ML Researcher, AI Engineer, Forward Deployed Engineer, Technical PM, Solutions Engineer, Technical Pre-Sales, or similar roles at AI companies or AI-focused teams.
You have hands-on experience with modern AI systems and understand how models work at a technical level. You&rsquo;re looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.
Technical Product Management
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.
You&rsquo;ve built and shipped AI products in a fast-moving environment where you had to operate across research, engineering, product, and commercial work simultaneously. You understand both how AI systems work technically and how they get brought to market. You&rsquo;re looking for a role where that breadth is the job, not a side effect of being early at a small company.
Across all three profiles, we require:<ul><li>3+ years of relevant professional experience</li><li>Strong analytical and critical thinking skills</li><li>Proficiency in Python and data analysis</li><li>Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools</li></ul>
Why Artificial Analysis?<ul><li>Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.</li><li>Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.</li><li>Work with the most important players in AI: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li>Join at a defining moment: We&rsquo;re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.</li><li>Competitive compensation including equity</li></ul>
1</div>

Member of Technical Staff

VARIANCE

<div>At Variance, we are teaching machines to make the hardest judgement calls at scale. That means building AI agents for the high-precision gray-area of risk investigations, fraud, and identity reviews. Your work will directly help enterprises spend less time on repetitive manual reviews and investigations, allowing them to focus on serving their customers, improving their products, and growing their business. We&rsquo;re rapidly growing, just raised a $21M Series A, and are building a team that works directly with leaders from leading marketplaces, gig platforms, fintechs, and financial institutions.
Why this role
In this role, you&rsquo;ll own the strategy and execution for deploying Variance across enterprises operating in complex, high-consequence environments. You'll partner closely with customer teams to deeply understand their workflows and goals, own the successful deployment of AI agents within their organization, and manage the relationship. When we get it right, pilots convert because the system demonstrably works on the customer's real data and edge cases, and customers come to see Variance as a strategic partner.
We&rsquo;re seeking someone with the executive presence of a strategy consultant, the instincts of a product builder, and the ownership of a founder. This is a foundational hire for this position and you&rsquo;ll have the opportunity to build and shape the future of this function.
This is an in-person position. Our office is located in San Francisco, CA.
What you'll do<ul><li>
Build AI agents for risk and compliance. You&rsquo;ll operate at the intersection of product, customer engagement, and deployment, partnering directly with our engineers and customers to ship agents that make decisions inside fraud and risk workflows.</li><li>
Understand the work before you build. Customers arrive with pain points, and your job is to turn those into requirements precise enough to build against. You'll learn how their teams make decisions today: what they escalate, where they get stuck, and what they can't afford to get wrong.</li><li>
Own the customer relationship and outcome. You'll be the strategic and technical owner of your accounts and the trusted advisor your customer calls to identify where our agents can make an impact next. You'll define what &quot;success&quot; means for each deployment and stay accountable for it through production and the life of the account.</li><li>
Grow the account. You'll be the only person who knows both the customer's roadmap and what's possible for us to build. A first contract becomes a multi-year expansion because of you.</li><li>
Shape the roadmap long-term. The patterns you see across accounts drive what Variance builds. What one customer needs today may define the roadmap for every customer in that industry.</li></ul>
Example projects<ul><li>
Translate a customer's investigation SOP into agent decision logic and refine it as production edge cases surface</li><li>
Map customer due diligence obligations across jurisdictions into a set of agent requirements</li><li>
Design the human escalation path for decisions the agent won't make on its own</li></ul>
What you'll bring<ul><li>
5+ years in customer-facing technical roles as an implementation or solutions consultant, product manager, or founder</li><li>
Experience shipping a 0 1 product and iterating on quality against real customer data</li><li>
Bonus if you've automated a human review or investigation workflow, or understand compliance requirements (e.g., KYC/KYB, BSA/AML, sanctions screening)</li></ul>
What we offer<ul><li>
Health care: platinum-level medical, dental, and vision insurance</li><li>
Unlimited PTO, sick leave, and parental leave</li><li>
Up to $100 per month in reimbursement for personal health and wellness expenses</li><li>
Up to $200 per month in commuter benefits</li><li>
Free lunch and dinner</li><li>
401(k) plan with employer match (eligible after 6 months)</li><li>
Meaningful equity in a fast-growing, Series A company</li></ul>
We evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. We encourage you to apply even if your experience doesn't precisely match the job description.</div>

Agent Product Manager

Technical Domain Manager - Retail

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

Explore 40+ Ai deployment engineer west in San Francisco this August. Find roles across top companies and apply now to boost your career.