Finite State

Agent Systems Engineer, GTM & Internal Operations

United States or Canada · Vp

Sponsorship not specified$192k-$230kDetected 34 days ago

TypeScriptPythonSQLBigQuerySnowflakeRESTdbtData EngineeringHubSpotSalesforceCRMOutbound SalesSystems Engineering5G/LTEResearch

About the role

Agent Systems Engineer is what we call this role.
You may know it as GTM Engineer, Revenue Systems Engineer, Growth Engineer, or internal Forward Deployed Engineer.
You're a deeply technical operator who embeds with revenue teams, learns how the business actually moves, and rebuilds workflows as governed, AI-augmented systems.

Run discovery with revenue leaders before building. Sit in pipeline reviews. Watch a deal cycle end-to-end. Find the actual time sinks before designing a solution
Design and build AI agents and AI-augmented workflows for revenue-critical work: account research, ICP scoring, signal-based plays, outbound personalization, CRM enrichment, deal intelligence, churn risk, expansion triggers, lead routing
Wire agents and systems together via APIs, webhooks, MCP servers, and lightweight code (Python, SQL, TypeScript). Use platforms like Clay, n8n, Workato, or Hightouch AI when they fit. Build custom when they don't
Build signal pipelines that capture buying intent (hiring patterns, funding events, security disclosures, product telemetry from our own platform) and trigger the right agent or action automatically
Build evaluation harnesses that measure real business outcomes (pipeline generated, deals accelerated, rep hours saved), not just whether the agent ran
Document the architecture and write the runbook so the next person on the team can learn from your work

5+ years in RevOps, Growth Ops, GTM Engineering, Sales Engineering, or Solutions Engineering, with production work that other people relied on
Modern data stack experience in production: warehouse (Snowflake, BigQuery), transformation (dbt), Reverse ETL (Hightouch, Census).
You have battle scars
Working knowledge of the modern GTM stack: Outreach or Salesloft, Gong, ZoomInfo, Clay, Apollo, LinkedIn Sales Navigator, product analytics
You can run a stakeholder conversation, define the process, and ship a v1 without a PM translating for you

Reverse ETL, CDP, or growth platform experience (Hightouch, Census, Segment, Rudderstack)
Hands-on experience with modern agent frameworks, MCP servers, evals, or current-generation agent SDKs
Prior work supporting a PLG motion or a sales-led-to-PLG transition
Public writing about your work (blog, Substack, talks).
We value people who can explain their thinking
Familiarity with security buyer personas (CISOs, product security leaders, PSIRT teams)
Why This Role Matters
GTM teams across the industry are racing to bolt AI onto individual reps.

Our salary ranges are based on experience and geographic location:
$192,000 - $230,000
About Finite State
At Finite State, we're on a mission to secure the connected world.
Our platform empowers product security teams to detect vulnerabilities, manage software supply chain risks, and ensure compliance across complex device ecosystems.
From IoT to critical infrastructure, we provide unparalleled visibility into firmware and software components, helping organizations protect their products and customers.

Finite State partners with product security teams, the guardians of our connected world, to create transparency for their connected devices and supply chains.
Our platform handles connected devices and embedded systems across all industries, including those found in enterprises, healthcare, utilities, connected vehicles, manufacturing facilities, critical infrastructure, and government entities.
We are a fast-growing series-B company with a fully distributed workforce.
Led by a team of seasoned experts, we are a mission-driven team passionate about arming our customers with the actionable insights, critical vulnerability data, and remediation guidance necessary to mitigate product risk and protect the connected attack surface.
We are committed to a remote first culture.

This listing is sourced directly from Finite State's careers page and normalized into a canonical job model.