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Deployment Strategist (AI/ML Product)

Own end-to-end customer deployments of AI agent workflows in a high-stakes, client-facing role at a rapidly growing AI/ML company.

Location
San Francisco or New York City
Compensation
$150k–$240k/yr
Level
senior
Type
full time · On-site

Posted by employer 2 months ago

First seen on Joblaze 2 months ago

Last verified on the company career page 1 day ago

Apply at Pallet → Save job Scanned from trypallet.com

Skills & Technologies

AI in the day-to-day

You’ll help build AI agent workflows that automate manual supply chain processes.

Requirements

Experience
6+ years

Not disclosed in this posting: visa sponsorship.

Benefits

401k Match Education Budget Unlimited PTO Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

The Enterprise Deployment Strategist at Pallet is responsible for managing customer deployments from initial discovery through to execution and long-term success, ensuring that clients are supported throughout the process. This role requires strong technical skills, particularly in workflows and APIs, as well as experience in high-stakes, client-facing environments. Ideal candidates will have a background in customer engagement or consulting, with a minimum of six years in relevant roles. Pallet's focus on AI-driven solutions positions this role at the forefront of transforming supply chain operations.

Joblaze insights

  • Listed about 2 months ago — first seen on Joblaze September 3, 2026. Last confirmed on Pallet's careers page November 10, 2026.
  • Salary band is below the typical range for AI/ML roles (median ~$189,308).
  • Starts above 10% of 129 comparable senior ai/ml roles in United States that list AI/ML we track (median $180,000 across 50 companies). See AI/ML salary trends
  • AI/ML appears in 41.1% of 559 comparable senior ai/ml roles in United States; SaaS appears in 0.5% of 559 comparable senior ai/ml roles in United States.

Quick facts

Is the Deployment Strategist (AI/ML Product) role remote?
No — this is an on-site role in San Francisco or New York City.
What's the salary range?
Pallet lists $150,000–$240,000 for this role.
How much experience is required?
At least 6 years of relevant experience for this Deployment Strategist (AI/ML Product) role.
Where is the role based?
Pallet is hiring for this position in San Francisco or New York City.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, SaaS.
What seniority level is this role?
Pallet targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Deployment Strategist (AI/ML Product) role at Pallet.

From the original posting

About Pallet

$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

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 Member of the Team (45 mins)
  5. Final Interview Loop (4 hours)
  6. Background & reference checks

We move fast and keep candidates informed at every stage.

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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.

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Our Benefits

Standard company text repeated across Pallet's postings is omitted here.

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