Regask

Founding GTM Engineer

India - Full Time

Our Company

RegASK is the Agentic AI Regulatory Operating System for life sciences and consumer products companies. We believe the future of regulatory work is not just better intelligence; it is intelligent execution.

Powered by vertical AI and backed by a global network of 1,800+ regulatory subject matter experts, RegASK enables organizations to anticipate regulatory change, assess its impact, and orchestrate compliance activities across 160+ markets. Our platform connects regulatory intelligence, decision-making, and workflow execution into a single system designed for modern regulatory teams.

Today, organizations use RegASK across Regulatory Affairs, Quality & Safety, Labeling, Packaging, R&D, and Legal to navigate increasing regulatory complexity with greater speed, confidence, and control. By combining agentic AI, human expertise, and enterprise governance, we are helping global companies transform regulatory operations from a reactive function into a strategic business capability.

As a fast-growing global company, we are always looking for curious, ambitious people who enjoy solving meaningful problems at the intersection of AI, regulation, and enterprise transformation. If that sounds like you, we’d love to meet you.

Position Overview

We are seeking a Founding GTM Engineer who will build the AI-native pipeline engine that feeds our entire Account Executive team. This is a high-leverage, full-stack role at the intersection of sales, marketing, RevOps, and engineering. You'll own the systems that turn ICP signals into qualified pipeline.

You will surface non-obvious buying signals, enrich data at scale, generate personalised first-touch outreach, and route the right opportunities to the right AEs at the right moment. Our market is regulated industries (pharma, medtech, food, cosmetics, and chemicals), where signals like regulatory filings, warning letters, and hiring patterns in regulatory affairs teams require programmatic detection to act on faster than any manual process can.

Responsibilities

  • Signal Layer: Identify, ingest, and score buying signals across regulatory filings, news, social, hiring data, intent providers, and our own product usage.
  • Enrichment Pipeline: Build the enrichment workflow layer with waterfall logic across Apollo, ZoomInfo, Cognism (for EU), LinkedIn Sales Navigator, and AI-powered enrichment via Claude/GPT. Achieve 80%+ data coverage on our ICP.
  • Outbound Engine: Build sequences in Gong Engage / Outreach / Smartlead / Instantly that combine high-volume reach with deep, signal-specific personalization. Manage deliverability infrastructure (domain warm-up, inbox rotation, DMARC/DKIM/SPF). Hit our reply-rate and meeting-booked benchmarks.
  • Routing Layer: When a signal fires and a contact is enriched, the right AE gets a warm intro within minutes, not days. Build this with Zapier/n8n, Salesforce flows, and Slack notifications.
  • Reporting Layer: Build pipeline-attribution dashboards that show what's working across signals, sequences, and AE conversion. Connect outbound activity to closed-won revenue.
  • AI-Native Layer: Wherever a workflow can be replaced or augmented by an AI agent (Claude, GPT, custom-built), do it. We expect AI to be the default tool in your stack, not a novelty.
  • CRM Architecture: Maintain Salesforce as our source of truth. Build the data model, automations, and reports that the GTM org runs on.

Requirements

  • 3+ years in a GTM-adjacent technical role: RevOps, GTM Engineering, Growth Engineering, Sales Engineering, or Marketing Ops.
  • Workflow-Layer Fluency: Hands-on experience with a GTM workflow tool as your primary build layer (Clay, nRev, SyncGTM, FullEnrich, Databar.ai, or equivalent). You can design waterfall enrichment across multiple data providers, build AI-enriched columns, make HTTP API calls, and stitch together custom integrations.
  • CRM Depth: 3+ years hands-on in Salesforce or HubSpot, including flows, custom objects, complex reports, and APIs. Strong understanding of the GTM data model.
  • Data and Scripting Fluency: Comfortable in SQL and proficient in Python or JavaScript for API calls, scraping, and data manipulation.
  • Outbound Infrastructure Experience: Proven ownership of email deliverability, including domain warm-up, IP rotation, DMARC/DKIM/SPF, and bounce-rate management. Hands-on configuration experience with Gong Engage, Outreach, Smartlead, Instantly, or similar platforms at scale.
  • Deep AI Fluency: You build with AI, not just use it. You have shipped automations or workflows where AI is a primary component, with the ability to prompt-engineer, evaluate output, and design systems that handle AI failure modes gracefully. Experience with agentic frameworks (Claude, OpenAI Responses API, n8n agents) is a plus.
  • Commercial Thinking: You think like a salesperson and build like an engineer, measuring impact in pipeline and revenue rather than features shipped. Comfortable contributing to GTM leadership discussions and defending technical tradeoffs.
  • Strong Written Communication: Able to document systems clearly and translate technical decisions for non-technical stakeholders.
  • Self-Direction: Comfortable operating without a playbook in a fast-moving, ambiguous environment.

Nice-to-Haves

  • Experience in B2B SaaS sold to enterprise, particularly in regulated industries (pharma, medtech, life sciences, financial services, food, or cosmetics).
  • Prior experience as part of a founding GTM Engineering function or as the first technical hire on a GTM team.
  • Active participation in GTM Engineering or RevOps communities (Clay community, RevOps Co-op, or similar).
  • A portfolio of publicly shared work: AI workflows, GitHub repos, written breakdowns of GTM systems, or equivalent.
  • Experience with data warehouses (Snowflake, BigQuery), BI tools (Looker, Hex), and event-driven systems.

What We Offer

  • Impact: Your work compounds across the whole sales organisation. What you build today drives pipeline for the team every quarter going forward.
  • Growth: First-seat ownership, cutting-edge AI, and a culture that invests in learning and career development.
  • Culture: Diverse, agile, and mission-driven team across Canada, US, UK, EU, Singapore, Japan, and beyond.

How to Apply

If you are excited about this opportunity and believe you have the skills to excel as our Founding GTM Engineer, send your resume to us! 

We appreciate all applications, but only selected candidates will be contacted for an interview. Thank you for considering joining the RegASK team. We look forward to reviewing your application!

Apply: Founding GTM Engineer
* Required fields
First name*
Last name*
Email address*
Location
Phone number*
Resume*

Attach resume as .pdf, .doc, .docx, .odt, .txt, or .rtf (limit 5MB) or paste resume

Paste your resume here or attach resume file

Current Base Location:*
Notice Period:*
Expected Monthly Salary (in USD):*
How many years of experience do you have in a GTM-adjacent technical role (RevOps, GTM Engineering, Growth Engineering, Marketing Ops, or similar)?*
Have you built GTM workflows and automation using dedicated tooling (e.g. workflow builders, enrichment platforms, or orchestration tools) as a primary part of your role?*
How many years of hands-on CRM experience do you have (Salesforce or HubSpot)?*
Have you owned and managed outbound email infrastructure and deliverability (e.g. domain setup, inbox management, bounce rate management)?*
How would you describe your use of AI in your technical work?*
Are you comfortable with SQL and at least one scripting language (Python or JavaScript) for data manipulation and API calls?*
Attach the link to your short Loom video (90 seconds or less) covering two things: why RegASK specifically, and one workflow, system, or automation you have built or shipped with AI that you are proud of.
Attach a work sample: a screenshot, Loom walkthrough, or link to a workflow, table, or system you have built.
Human Check*