Posted today · be early

GTM Engineer

Oliv AI

IndiaremotePosted today

Skill Required

GTM-EngineerRevenue-OperationsMarketing-OperationsGrowth-EngineeringSales-OperationsGTM-Systems-EngineerGTM-AI-EngineerGTM-Automation-EngineerAI-GTM-EngineerGTM-ArchitectGTM-EngineeringGTM-Systems-EngineeringEngineeringautomationanalyticsHubSpotdesignAPIsGenerative AIandAIFulltime

Key highlights

4+ years of experience in growth, GTM engineering, or related operations.
Must have proficiency in SQL and Python or JavaScript and comfort with APIs and webhooks.
Experience building B2B SaaS growth campaigns for North American or global audiences.
Proven ability to build and ship automation workflows using tools such as HubSpot, Apify, n8n, Make, PostHog, etc.
Strong practical understanding of LLMs, prompting, and AI output evaluation.
Commitment to equal opportunity and an inclusive workplace.

Role overview

Oliv.AI is hiring a Growth & GTM Engineer who will own end-to-end go-to-market strategy, build automation and distribution systems, and drive qualified pipeline for a B2B SaaS sales intelligence platform. The role blends technical engineering, content creation, and partnership development to deliver measurable revenue impact in a fast‑moving startup environment.

Responsibilities

Develop and continuously refine Oliv's ICP, market segments, buyer personas, and account-selection criteria.
Translate company goals into specific growth hypotheses and campaign plans.
Identify new audiences, buying signals, use cases, and distribution opportunities.
Build a structured experimentation roadmap across content, social, syndication, partnerships, outbound, and ABM.
Define success metrics before launching a program, then stop, modify, or scale it based on pipeline outcomes.
Build systems that identify high-potential accounts and contacts, and the triggers that show an account is ready to engage.
Develop enrichment workflows using firmographic, technographic, hiring, funding, leadership, and intent data.
Create account-scoring and prioritisation models.
Automate repetitive research while keeping data and output quality high, and turn raw account information into usable campaign insight.
Own Oliv's content engine end to end: what gets made, who it is for, where it goes, and what it is supposed to produce.
Write content yourself.
Build and work a distribution list of newsletters, communities, podcasts, and industry publications, and land Oliv in them.
Get Oliv into third‑party listicles and comparison pages that human buyers and AI answer engines cite.
Build syndication and repurposing as a system, not a manual chore.
Judge content on pipeline influence rather than traffic or impressions.
Run Oliv's social presence, brand and founder accounts alike, including ghostwriting for executives.
Show up in buyer communities such as Reddit, Slack, and peer groups as a useful participant, not a spammer.
Turn engagement into a workable audience: capture the people who interact, enrich them, and route them into the right motion.
Treat social as a research channel as well as a broadcast one, feeding learnings back into messaging and targeting.
Identify, pitch, and land partners such as integration and tech partners, agencies, consultancies, communities, creators, and resellers.
Build co‑marketing programs—joint webinars, co‑authored content, newsletter swaps, integration launches, marketplace and directory listings.
Own a partner‑sourced and partner‑influenced pipeline number and the plumbing that makes it measurable.
Be a partner senior‑team asset and a repeat collaborator.
Personally build and launch targeted campaigns across email, LinkedIn, ABM, content, and other relevant channels.
Develop campaign concepts, offers, messaging, and audience logic, including account‑specific experiences.
Build nurture, reactivation, closed‑lost, and expansion campaigns.
Coordinate closely with sales on account selection, follow‑up, and pipeline conversion.
Run small, fast experiments before scaling, and own quality from targeting through measurement.
Build and maintain workflows connecting CRM, enrichment providers, campaign and content tools, internal data, and AI systems.
Work hands‑on with tools such as HubSpot, Clay, Apify, n8n, Make, and PostHog, and replace them with better options if needed.
Work directly with APIs, webhooks, scripts, and LLMs to build intelligent workflows.
Design human‑review and quality‑control steps for AI‑generated output, and evaluate that output rigorously.
Monitor automation failures, data‑quality issues, and campaign errors before they become pipeline problems.
Create reusable systems and documentation, raising the execution standard across the growth organisation.
Connect campaign, content, social, and partner activity to meetings, opportunities, pipeline, and revenue.
Own attribution and the CRM data quality it depends on.
Build the tracking you need rather than waiting for someone to build it for you.
Diagnose why campaigns succeed or fail.
Monitor funnel conversion, account engagement, cost per opportunity, and pipeline contribution.
Present clear recommendations to founders and senior stakeholders rather than simply reporting numbers.

Requirements

4+ years in growth, GTM engineering, revenue automation, growth operations, or marketing operations.
A track record of building and executing B2B SaaS growth campaigns for North American or global audiences.
Working command of SQL and Python or JavaScript.
Real comfort with APIs and webhooks—reading documentation, debugging failures, and building integrations yourself.
Strong practical understanding of LLMs, prompting, agentic workflows, and how to evaluate AI output instead of assuming it is right.
A body of published writing you can point to, and the ability to write copy a senior buyer would actually finish reading.
Evidence of building a distribution channel from zero: a newsletter, a community presence, a content engine, a partner program, or a following.
Credibility with senior people: ability to run a call with a VP, CRO, or partner executive without a manager in the room.
Strong analytical judgment, comfort working with incomplete information, and evidence of personally shipping rather than managing agencies.

Nice to have

You break vague growth problems into testable hypotheses.
You can go from a spreadsheet or a customer insight to a working campaign within days.
When a tool cannot do what you need, your instinct is to build it, not to file a request.
You have opinions about where your buyers spend their attention, and you have tested them.
You care more about qualified pipeline than impressions, opens, or activity volume.
You enjoy early‑stage environments where the role is not fully defined.

Additional details

Oliv.AI is a SalesTech global startup headquartered in San Francisco, debuting the world's first team of AI Agents for sales. With recent $5.2M Seed funding, we solve unreliable deal data by capturing deal intelligence from every meeting, call, and email—without any rep involvement. The result is a clear, detailed view of every deal, presented in scorecards built on trusted sales methodologies like MEDDICC, BANT, and SPICED. Our AI agents are built for sales teams—sales managers, AEs, and RevOps—handling the work that takes them away from selling.
This is not a traditional marketing role, and it is not a pure engineering role either. The role blends technical and creative responsibilities to build and ship systems, content, and partnerships that drive qualified pipeline.
The applicant must send a Loom covering two things: a GTM system they personally built (problem, implementation, tools and code, measurable outcome) and a distribution channel they personally grew (publications, outreach, results). Show actual artefacts such as workflows, posts, partner pages, and dashboards.
Oliv.AI is an equal‑opportunity employer that prioritises building a diverse and inclusive workplace and will not tolerate discrimination or harassment based on any protected characteristic. This policy applies to all terms and conditions of employment.