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HARVEY

<div><div><h2 class="jobSectionHeader">Location</h2>
San Francisco
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Location Type</h2>
Hybrid
</div><div><h2 class="jobSectionHeader">Department</h2>
Engineering
</div><div><h2 class="jobSectionHeader">Compensation</h2>
<ul><li>$161.3K &ndash; $241.9K &bull; Offers Equity &bull; Offers Bonus</li>
</ul><div>Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.</div></div></div>
 <div><h1 class="jobSectionHeader">Why Harvey</h1>
At Harvey, we&rsquo;re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we&rsquo;re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We&rsquo;re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth &mdash; personal, professional, and financial &mdash; is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission &mdash; operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today &mdash; and we&rsquo;re just getting started.
<h1 class="jobSectionHeader">Role Overview</h1>
Harvey is building the AI platform trusted by the world&rsquo;s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload.
We&rsquo;re looking for a Production Engineer to help build and operate Harvey&rsquo;s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You&rsquo;ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale.
In this role, you&rsquo;ll improve the reliability, scalability, security, and efficiency of Harvey&rsquo;s infrastructure platform. You&rsquo;ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You&rsquo;ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey&rsquo;s rapid growth.
At Harvey, we value Decisiveness, Simplicity, and the belief that Job&rsquo;s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence.
<h1 class="jobSectionHeader">What You'll Do</h1>
<h2 class="jobSectionHeader">Infrastructure Engineering &amp; Technical Leadership</h2>
<ul><li>Design, build, and operate the production infrastructure that powers Harvey&rsquo;s products and AI workloads.
</li><li>Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations.
</li><li>Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost.
</li><li>Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions.
</li><li>Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely.
</li><li>Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship.
</li></ul><h2 class="jobSectionHeader">Infrastructure Foundation &amp; Production Operations</h2>
<ul><li>Build and operate Harvey&rsquo;s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance.
</li><li>Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads.
</li><li>Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth.
</li><li>Operate and continuously improve Harvey&rsquo;s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation.
</li><li>Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring.
</li><li>Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls.
</li><li>Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi.
</li><li>Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform.
</li><li>Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements.
</li></ul><h1 class="jobSectionHeader">What You Have</h1>
<ul><li>5+ years of software, infrastructure, site reliability, or production engineering experience.
</li><li>Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform.
</li><li>Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability.
</li><li>Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics.
</li><li>Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi.
</li><li>Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations.
</li><li>Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response.
</li><li>Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices.
</li><li>A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority.
</li><li>Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders.
</li><li>A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms.
</li></ul><h2 class="jobSectionHeader">Nice to Have</h2>
<ul><li>Experience supporting AI/ML or LLM infrastructure at scale.
</li><li>Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning.
</li><li>Experience with multi-cloud infrastructure or hybrid cloud environments.
</li><li>Experience building internal platforms or developer tooling that improves engineering velocity and production safety.
</li></ul><h1 class="jobSectionHeader">Compensation</h1>
$161,300 - $241,900 USD
<h3 class="jobSectionHeader">Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here.</h3>
#LI-AN2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai</div>

Senior Software Engineer, Production Engineering

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>
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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

Technical Domain Manager - Retail

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

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

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><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

<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

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