Deployment Strategist

Reposted 17 Hours Ago
2 Locations
In-Office
150K-200K Annually
Mid level
Artificial Intelligence • Software • Analytics • Generative AI
The Role
Partner with enterprise account teams to drive deployments, manage 2-3 customer relationships, translate product and modeling insights into solutions, and shape GTM strategy. Act as the primary post-sales contact, coordinate cross-functional work, and take on business-wide projects to improve simulation quality and customer outcomes.
Summary Generated by Built In
About the Company

Pilots don't train with real passengers. Actors don't rehearse with real audiences. Yet, the most consequential decisions in society are often pushed straight to production.

Simile is changing that. We have built the first AI simulation of society, populated by generative agents based on real humans. Our research pioneered the field of AI-based simulation, proving it is possible to model human behavior with high accuracy. Today, we are developing a Foundation Model to predict human behavior in any situation, at any scale.

We are backed by $100M in funding led by Index Ventures, with participation from Hanabi, A*, Bain Capital Ventures, and AI visionaries including Andrej Karpathy, Fei-Fei Li, Adam D'Angelo, and Guillermo Rauch.

About the Role

Deployment Strategist at Simile means being embedded within enterprise account teams. You'll be deeply involved in 2-3 customer relationships - running deployment work, handling day-to-day customer needs, and getting fluent enough in Simile's platform to be genuinely useful in technical conversations.

The people who do well here are energized by customers and their experience in the product: building relationships, digging into hard problems, and staying on top of the details. You'll move fast, have real ownership early, and work closely with product and research on problems that matter to Fortune 500 organizations across industries.

Ideally, you'd have:

Experience from one of three areas:

  1. Operators coming from companies that deploy enterprise AI or data products

  2. Strategy consultants or investors who want to move into tech to own outcomes

  3. PMs or engineers who got pulled into the business and customer side and never looked back

In this role, you will:
  • Own your Customers: Be the person your customers rely on - responsive, on top of the details, and trusted to get things done

  • Drive Deployments: Own enterprise customer engagements from first call to full deployment and beyond

  • Know the Product: Go deep on Simile's platform - simulations, population modeling, evals, and validations - and bring that knowledge into every customer conversation

  • Work Cross-functionally: Bridge the gap between what customers need and what product and modeling teams build, and make sure the right insights from the field shape internal decisions

  • Shape the Business: Take on high-impact projects that span the full business - from how we land new customers to how we think about simulation quality and what we build next

RequirementsMust Haves
  • Mindset: Thrives in ambiguous, 0-1 environments - scrappy, resourceful, and doesn't wait to be told what to do

  • Reliability: The person your teammates and customers can count on - detail-oriented, accountable, and consistent

  • Customer Focus: Exceptional communicator who builds trust quickly with senior stakeholders and knows how to navigate complex relationships

  • Product Fluency: Able to get up to speed on technical concepts quickly and explain them clearly; no coding required, but comfortable engaging with AI concepts like evals, validation, and model behavior

  • Travel: Willing to travel for customer engagements

Nice to Haves
  • Comfort building lightweight tools or automations (scripts, no-code tools, etc.)

  • Familiarity with enterprise software deployments or B2B SaaS

Compensation & Benefits

At Simile, we provide competitive compensation packages that include base salary, equity, and comprehensive benefits.

  • Salary Range: $150,000 – $300,000 USD

    • Note: Final offers are based on experience, specialized skills, interview performance, and relevant training.

  • Equity: Grants are available for eligible roles, subject to board approval.

  • Health & Wellness: Comprehensive medical, dental, and vision coverage.

  • Time Off: Flexible time off policies to support work-life balance.

Our Process

We prioritize thoughtful conversations and clear examples of past work. Our hiring journey is designed to help both sides align on fit, working style, and expectations.

Reapplication Policy: To ensure a fair and thorough evaluation for all applicants, Simile observes a 90-day waiting period before reconsidering candidates for the same role.

Commitment to Diversity & Inclusion

Equal Opportunity: Simile is an equal opportunity workplace. We welcome applicants of all backgrounds and identities, valuing an environment where everyone can contribute authentically.

Accommodations: If you require support or reasonable accommodations during the application process due to a disability, please let us know. We are happy to assist.

Skills Required

  • 2-4 years in post-sales, implementation, solutions engineering, strategy consulting, or similar
  • Thrives in ambiguous, 0-1 environments; scrappy and resourceful
  • Reliable, detail-oriented, accountable, and consistent team member
  • Exceptional communicator who builds trust with senior stakeholders and navigates complex relationships
  • Product fluency: quickly learn technical concepts and explain AI concepts like evals, validation, and model behavior
  • Willingness to travel for customer engagements
  • Experience at an early-stage startup or fast-moving team
  • Exposure to AI, analytics, or data-heavy products
  • Comfort building lightweight tools or automations (scripts, no-code tools)
  • Familiarity with enterprise software deployments or B2B SaaS
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The Company
34 Employees
Year Founded: 2025

What We Do

Simile AI, Inc. is a technology company that develops an AI-driven simulation platform to model realistic human behavior at scale. Utilizing generative agents trained on real human data, the platform creates high-fidelity digital twins that help enterprises predict how audiences, markets, or populations will react to specific changes, allowing them to rehearse earnings calls, model litigation outcomes, and validate product concepts.

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