GTM Engineer
About Us
Oliv.AI is a SalesTech global startup headquartered in San Francisco, debuting the world's first team of AI Agents for sales. With our recent $5.2M Seed funding, we solve one of the biggest problems for revenue teams: unreliable deal data. Oliv captures 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. With Oliv AI , sales teams can bring back focus on deals, strategy and conversation.
The role
This is not a traditional marketing role, and it is not a pure engineering role either.
You will decide which accounts matter, build the systems that research them, write the content that reaches them, build the partnerships that amplify it, and turn all of that into qualified pipeline.
Two things have to be true about you at once.
You are technically sharp enough to build your own workflows, wire up your own APIs, and ship a working system without waiting on engineering or anyone else. Nothing you own should be blocked on a single person, including us.
And you are obsessed with distribution — content, syndication, social, and partnerships — because pipeline goes to whoever the buyer already trusts. That means newsletters, communities, podcasts, comparison pages, partner audiences, and the people who influence them.
What you will own
GTM strategy and experimentation
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Develop and continuously refine Oliv's ICP, market segments, buyer personas, and account-selection criteria.
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Translate company goals into specific growth hypotheses and campaign plans.
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Identify new audiences, buying signals, use cases, and distribution opportunities.
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Build a structured experimentation roadmap across content, social, syndication, partnerships, outbound, and ABM.
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Define success metrics before launching a program, then stop, modify, or scale it based on pipeline outcomes.
Account research and intelligence
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Build systems that identify high-potential accounts and contacts, and the triggers that show an account is ready to engage.
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Develop enrichment workflows using firmographic, technographic, hiring, funding, leadership, and intent data.
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Create account-scoring and prioritisation models.
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Automate repetitive research while keeping data and output quality high, and turn raw account information into usable campaign insight.
Content and syndication
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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. You will write it yourself.
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Build and work a distribution list of newsletters, communities, podcasts, and industry publications, and land Oliv in them.
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Get Oliv into the third-party listicles and comparison pages that both human buyers and AI answer engines cite.
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Build syndication and repurposing as a system, not a manual chore.
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Judge content on pipeline influenced, not on traffic or impressions.
Social and community
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Run Oliv's social presence, brand and founder accounts alike, including ghostwriting for executives.
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Show up in the communities where our buyers actually talk — Reddit, Slack, and peer groups included — as a useful participant with your identity and employer disclosed, not as a spammer.
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Turn engagement into a workable audience: capture the people who interact, enrich them, and route them into the right motion.
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Treat social as a research channel as much as a broadcast one, and feed what you learn back into messaging and targeting.
Partnerships and ecosystem
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Identify, pitch, and land the partners worth having: integration and tech partners, agencies, consultancies, communities, creators, and resellers.
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Build co-marketing programs — joint webinars, co-authored content, newsletter swaps, integrat
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