GTM (Go-to-Market) Engineer

BitSight Technologies•Boston, MA

4d•Remote

About The Position

Bitsight is a global leader in cybersecurity risk and third-party risk management, helping organizations understand, manage, and reduce their cyber exposure and that of their vendors and partners. As we scale our go-to-market motion, we're investing in the systems and automation that let our sales, marketing, and customer success teams move faster and smarter, which is where this role comes in. We're hiring our first GTM Engineer to design and build the infrastructure that turns our go-to-market strategy into repeatable, automated execution. You'll sit at the intersection of engineering, data, and revenue strategy, connecting and automating the systems our sales teams rely on every day. AI-native tools are starting to reshape what's possible in GTM, and you'll own that shift for us: what we adopt, what we build ourselves, and what we walk away from.

Requirements

3+ years in technical business systems, GTM Engineering, RevOps, Sales Ops or a related applied technical role.
Strong SQL skills and working proficiency in at least one programming language (Python or JavaScript/TypeScript).
Hands-on API and webhook experience so you're comfortable connecting systems that weren't designed to talk to each other.
CRM depth ideally with Salesforce (admin/dev-level configuration a plus)
Fluency in core GTM concepts: ICP definition, lead scoring, pipeline/funnel metrics, attribution, and sales process. You understand why a workflow matters to a rep or an AE, not just how to build it.
Experience with workflow/automation tooling such as Clay, Workato, n8n, Zapier, or equivalent.
A builder's mindset: you'd rather build a system that compounds than run a one-off campaign, and you're comfortable operating with ambiguity and limited blueprints.
A portfolio of shipped work: examples of workflows, integrations, or automations you've built and the measurable impact they had (response time, conversion lift, hours saved, etc.) will carry more weight than a specific degree or title history.
Landscape fluency: you track the GTM AI tooling ecosystem and can make informed build-vs-buy calls quickly, rather than defaulting to whatever's already in place.

Nice To Haves

Experience with data warehouses/BI tools (Snowflake, Looker)
Experience deploying LLM-powered or agentic workflows in a GTM context.
Salesforce Administrator, Salesforce Platform Developer or Developer certification.
Background in cybersecurity, security ratings, or third-party risk management (helpful for context, not required).

Responsibilities

Support our AI-native GTM roadmap: Help continuously evaluate emerging AI-native GTM platforms and tooling, contribute to build-vs-buy-vs-integrate analysis. Lead migration off legacy point solutions as better AI-native alternatives emerge.
Build and deploy AI-assisted workflows: Apply LLMs and agentic workflows to tasks like account research, call/transcript analysis, personalized outreach, and internal tooling.
Build and maintain GTM automation: Design workflows for enrichment, prioritization, and sequencing that scale without manual intervention
Own system integrations: Connect systems such as Salesforce, Clari, ZoomInfo, Gainsight, Snowflake, and Claude so data flows cleanly across the stack
Engineer data quality and governance: Build validation, deduplication, and enrichment pipelines that RevOps, sales, and marketing can actually trust without double-checking.
Partner cross-functionally: Work directly with Sales and RevOps leadership to translate business problems into technical systems and explain technical tradeoffs to non-technical stakeholders.
Experiment and iterate: Treat pipeline generation and conversion as an engineering problem - test hypotheses, measure results, and scale what works instead of adding one-off point solutions.
Document what you build: Ensure workflows, integrations, and logic are documented well enough that others can understand, trust, and extend them without you.