Enterprise Deployment Strategist (AI/ML Product)

Enterprise Deployment Strategist (AI/ML Product)

San Francisco or New York City

Pallet is building AI Agents to transform logistics — a $12 trillion global industry. We've raised $50M from top investors, including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. In under two years, we've achieved 700% revenue growth and are just getting started.

Our mission is to increase the efficiency of the global supply chain by automating the manual workflows that slow logistics teams down — from scheduling and appointment setting to data entry and load management. Our flagship platform provides end-to-end visibility, control, and optimization, while our newest product, CoPallet, introduces AI Agents that can understand and execute requests in real time, and integrate directly with customer systems.

As logistics providers look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep industry expertise and cutting-edge AI capabilities, we're positioned to build the next $10B company in logistics.

Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of logistics tech.

$120,000 - $240,000 Full-time / Onsite (5 days/week) / ~25-30% Travel

About the Role

As Pallet scales into larger, more complex enterprise and mid-market customers, deployments become higher-stakes: more stakeholders, evolving requirements, real change management, and real consequences if things break.

The Deployment Strategist owns customer deployments end-to-end, from discovery and workflow design through execution, go-live, and long-term success. You are the connective tissue between customers, Agent Delivery Engineers, Product, Sales, and Success. You ensure customers feel confident, informed, and supported, even as workflows, product capabilities, and internal processes continue to evolve.

This is a highly client-facing, high-ownership role for senior operators who thrive under pressure and ambiguity.

Why This Role Is Different

You won't inherit a playbook, you'll help build it. This role owns enterprise deployments end-to-end, translating messy real-world operations into live AI agent workflows. You'll work directly with executives, shape how CoPallet scales, and play a defining role in how customers come to trust AI in mission-critical systems.

How You'll Make an Impact

• Serve as the executive point of contact for customer deployments and long-term success
• Lead customer discovery to understand workflows, constraints, and success criteria
• Translate complex business processes into executable AI agent workflows
• Partner with Agent Delivery Engineers to validate assumptions and execute technically
• Configure, test, and release agent configurations for customer use cases
• Own deployment plans, timelines, risks, and stakeholder communication
• Lead customer kickoffs, milestone reviews, QBRs, and executive updates
• Proactively manage scope changes, escalations, and expectation-setting
• Improve and scale onboarding and deployment processes over time
• Travel for key customer milestones and kickoffs as needed (~25%)

What Success Looks Like

• Customers have clearly defined, executable workflows aligned to their business reality
• Deployments stay on track despite ambiguity, changing requirements, or complexity
• Executives feel informed, confident, and trust Pallet as a long-term partner
• Internal teams are aligned, accountable, and coordinated around customer outcomes
• Deployment processes become more repeatable and scalable without sacrificing quality

What You'll Bring

• 6+ years in customer-facing roles (Product, Engagement, Consulting, Founder, etc.)
• Strong technical acumen: able to reason about workflows, APIs, and system behavior
• Comfort operating in fast-moving, ambiguous environments
• Excellent written and verbal communication skills
• Experience managing multiple concurrent, high-stakes projects
• Familiarity with LLMs, APIs, JSON
• Strong Excel / PPT skills
• SaaS experience
• Basic SQL literacy

Nice to Have

• Technical degree (CS, Engineering, Math) or equivalent experience
• Experience with AI-driven or workflow automation products

Location & Logistics

• In-person, based in our San Francisco office or NYC office
• Travel required for major customer milestones
• Interviewing: Remote with final in-person round

Interview Process

1. Chat with Recruiter (30 min)
2. Chat with Member of the Team (45 min)
3. Chat with Member of the Team (45 min)
4. Chat with Hiring Manager (45 mins)
5. Final Interview Loop (3 hours)
6. Background & reference checks

We move fast and keep candidates informed at every stage.

Compensation

The estimated salary range for this role is $120,000 – $240,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and growth opportunities. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.

Our Benefits

We invest in our people the same way we invest in our product: seriously.

• Health, Vision, and Dental benefits
• Flexible PTO
• Life Insurance and Accidental Insurance
• Short-Term Disability Coverage
• Generous salary and equity for all staff
• 401k option; helping you save for the future
• Yearly learning and development stipend
• Commuter benefits for Bay Area employees
• Uber ride stipend if you ever have to work late in the office
• Remote office home stipend to get you comfy in your space
• Daily catered lunches provided
• Onboarding trip to San Francisco HQ if you work remotely
• Monthly happy hours
• Annual Company Offsites; our last one was in Palm Springs CA

Workplace Policy

We are an in-person company. Our offices in San Francisco and New York City are where ideas get built, decisions get made, and the team gets stronger. We have invested in making them genuinely great places to spend your day, with catered lunches, monthly happy hours, and people who care about the work and each other.

Most of our team works in office five days a week. For select roles, we hire remotely across the U.S. Remote employees come to San Francisco for their first week to onboard and meet the team, and we cover the full trip. Most remote employees visit once a year after that, with all travel, lodging, and meals on us.

Every role is different. Travel expectations are always shared upfront in the job description and confirmed in your first call with us. No surprises.

Equal Opportunity

Pallet is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring.

Candidate Privacy Notice

Please review Pallet's Candidate Privacy Notice here.

Accommodations

Pallet complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law.

If you need any assistance or accommodations due to a disability, please contact us at View email address on click.appcast.io