Enterprise Deployment Strategist (AI/ML Product)

Description

About Pallet

Pallet is building AI Agents to transform the physical economy — 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 supply chain 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 companies across the physical economy look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep supply chain expertise and cutting-edge AI capabilities, we’re positioned to build the next $10B company powering the physical economy.

Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of supply chain technology.

$150,000 - $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

Requirements

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

Conditions

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

Chat with Recruiter (30 min)

Chat with Member of the Team (45 min)

Chat with Member of the Team (45 min)

Chat with Hiring Manager (45 mins)

Final Interview Loop (3 hours)

Background & reference checks

We move fast and keep candidates informed at every stage.

-

The estimated salary range for this role is $150,000 – $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.

LI-SF1 LI-NY1 LI-Onsite

Our Benefits

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

Health, Vision, and Dental benefits

Take-what-you-need Paid Vacation

Life Insurance and Accidental Insurance

‍ Short-Term Disability Coverage

Generous salary and equity for all staff

401k option; helping you save for the future

‍‍‍ Paid parental leave to support growing families

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, New York City and London 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 one of our offices for their first week to onboard and meet the team, and we cover the full trip.

Every role is different. Travel expectations are always shared upfront in the job description and confirmed in your first call with us.