Founding Deployment Strategist

Posted Yesterday
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San Francisco, CA, USA
In-Office
Senior level
Artificial Intelligence • Big Data • Information Technology • Software • Analytics
The Role
Embed with customers to discover high-value use cases, lead post-sales discovery, coordinate sales/deployment/engineering to deliver solutions, and drive expansion and renewal by co-developing generalizable product features. This is a field role requiring in-person engagement, technical fluency across platform/ML/firmware/hardware, and the ability to influence product direction without direct ownership.
Summary Generated by Built In
Company Background

Specter's mission is to help automate the physical world.

Today, we build video sensors with state-of-the-art AI agents that answer any question, anywhere in their environments. Our systems can automatically detect and reason about any physical activity captured on camera, from security incidents (e.g. perimeter intrusion, theft, LPR), to safety monitoring (e.g. PPE detection, injured people), to operational efficiency (e.g. material tracking, congestion monitoring). We offer both long range wireless (1km range) and wired sensor variants to suit any deployment.

Our co-founders Xerxes and Philip are passionate about empowering our partners in the fast approaching world of physical AI and robotics. We are a small, fast growing team who hail from Anduril, Tesla, Uber, and the U.S. Special Forces.

The Role

Deployment Strategists are accountable for delivering value to Specter customers. They discover what the customer actually needs, and steer the customer and internal teams to deliver it. Success is measured by expansion and renewal.

As a Founding Deployment Strategist, you will partner closely with sales (find a customer with pain we can uniquely solve, convince them to work with us), deployment operations (deploy and sustain hardware on-time and under-budget), and engineering (build something people want).

Our deployment strategy is deliberately expansive. Win the highest-value use case in each industry, establish the network, and spread across adjacent assets and workflows. The objective is density: more sites, more sensors, more events, and more context inside each industry. Your mission is to make this a reality with customers.


Responsibilities
  • Embed with customers to understand their highest-value use cases, and partner with engineering, deployment operations, and GTM to deliver them.

  • Own post-sales discovery. Build a shared understanding of what matters to each individual and company we engage with. What will they get promoted for? How can we make them look great? What is their actual pain vs what they're asking us for?

  • Meet our customers on the sites we're responsible for protecting, managing, and eventually automating. Deployment Strategy is a field role.

  • Co-develop new features with customers that are most likely to benefit — and shape the functionality in a generalizable way across verticals.

  • Understand the details of our product (platform, ML, firmware, hardware). Speak to the details with customers and use technical intuition to shift engineering work closer to what our customers really need.

  • Take advantage of AI and agents to close the gap between our customers and internal teams. This could be building an agent that automatically pages on-call when a customer detects a sensor issue or a "game film" agent that synthesizes themes from customer calls.

You may be a fit if you:
  • Have navigated messy enterprise accounts from early pilots to multi-million dollar expansions.

  • Can earn the trust of opinionated engineers (we have many!).

  • Default to showing up in person. "I'll be in Memphis next Thursday, let's discuss over coffee" (and then booking a flight) is common and expected.

  • Have good hospitality instincts. Responsiveness, polish, consistency, and sweating the details matter.

  • Find joy in distilling complex ideas (customer discovery, technical topics, strategic questions) into what’s essential.

  • Can successfully influence product without having direct ownership over it.

Skills Required

  • Experience navigating enterprise accounts from early pilots to multi-million dollar expansions
  • Strong customer discovery and post-sales ownership to build shared understanding of customer needs
  • Willingness and ability to be a field role with frequent in-person travel to customer sites
  • Technical fluency with the product: platform, machine learning, firmware, and hardware
  • Ability to earn trust of engineers and collaborate across engineering, deployment operations, and sales
  • Experience co-developing product features with customers and shaping generalizable functionality
  • Excellent communication, hospitality instincts, responsiveness, polish, and attention to detail
  • Ability to influence product direction without direct product ownership
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The Company
50 Employees
Year Founded: 2020

What We Do

Specter is an AI-powered platform that delivers real-time data and insights on private companies, enabling investors to make informed decisions. It offers an AI-driven deal sourcing platform and a dual-lens classification system for industries and tech verticals.

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