About Snowplow
Snowplow is the real-time customer context layer that collects, validates, enriches, and delivers behavioral data for advanced analytics, ML, and AI agent decisioning. Snowplow's event tracking is leveraged across 2M+ websites and applications globally, processing over one trillion events per month.
More than 250 companies, including Experian, AutoTrader, Strava, Condé Nast, and HelloFresh, rely on Snowplow to build a well-governed, first-party data foundation that powers their customer-facing AI agents, in-session personalization and recommendations, and real-time analytics.
This Opportunity
Snowplow is an AI native company at the forefront of internal use of AI, including GTM Engineering and Applied AI functions.
This is a Growth role for someone early in their career who wants to have commercial impact, where the work you do every day visibly accelerates the company's growth. Reporting to our Director of Growth, you'll build pipeline using an AI-native GTM playbook that's reshaping how every company sells, and get real exposure to how enterprise software is bought and sold.
It's real commercial work from day one. You won't be hammering the phones or hand-building prospect lists; the heavy lifting of outbound is automated, and you add the human element on top: personalizing the messaging that matters, following up with warm prospects while their interest is fresh, and testing what resonates with different audiences. You'll work from prepared priority lists with clear direction on who to go after, and you'll be measured on meetings booked and opportunities created.
This role is for someone who wants to be close to the deal, working shoulder-to-shoulder with sellers rather than a step removed from them. You don't need a background in data or SaaS, but you need to be commercially sharp, hungry enough to go after it every single day, and willing to put in the work to learn a technical product sold to technical buyers.
What you will own

• The outbound sequences. You'll launch and manage email campaigns, keep every reply moving toward a meeting, and be accountable for what your sequences produce.
• The human layer on automated outreach. Evaluating target companies and their buying committees, and writing the personal notes that turn an automated sequence into a message a real prospect answers.
• The warm follow-up queue. Demo requests, content engagement, webinar and event contacts: nothing goes cold on your watch. You work each one until it becomes a meeting or a clear no.
• Every handoff to sales. Each meeting you book goes to an Account Executive with the context they need to walk in prepared.
• Selling to our core personas (including data, product, marketing and engineering teams). You'll develop enough product and technical knowledge to hold credible conversations with data engineers, analytics leads, and Chief Data Officers. That means understanding how modern data stacks work at the level where you can ask the right questions and know what the answers mean.
• Running experiments on messaging, targeting, and channels. Figure out what works, document it, and bring that learning back to the team. You'll have room to try things and the expectation that you'll learn from what doesn't work.
• Working hand-in-glove with Account Executives. You'll sit close enough to live deals to see how enterprise software actually moves from first contact to signature, and AEs will lean on you for the context behind every meeting you set. Deal admin is not part of this job; that work is automated.
• Getting in front of senior buyers. You'll be in the room at the events where we meet them: roundtables, dinners, and our data leadership series, and you'll own the follow-up that turns a conversation into a booked meeting.

1. Sales: Start by developing long-horizon opportunities, develop into an Account Executive with your own territory, and a path to Account Executive and your own number. The right route if you're motivated by closing your own deals and want your earnings to show it.
2. GTM Engineering: Right now the machine builds your call list. There's a route to stepping up and building that machine yourself: the sequences, signals, agents and experiments behind it. This job didn't exist three years ago and now every software company is trying to hire for it.
3. Partnerships: We're growing how we sell with our partners: AWS, Google Cloud, Vercel, Databricks and Snowflake to name a few. Partner deals are some of the biggest and most interesting we do, and this is the route into them: selling alongside the largest tech companies in the world, opening new markets, and learning how deals get shaped when there's more than one company at the table.

• You're early in your career and you want to move quickly. Your background matters less than your track record: you've performed at a high level in what you've done so far, and you're motivated by commercial outcomes.
• You do your best work with people. You get energy from working a room, you love collaborating with sellers, and you'd always rather have the conversation than send another email about it.
• You embrace new technology. This role runs on modern, AI-assisted outbound tooling. You're excited to work that way, not attached to doing everything by hand.
• You write well. Your outreach is specific, your follow-up is clear, and you don't waste people's time with generic messages. You can tell when an email sounds like a template and when it sounds like a person, and you know how to fix the difference.
• You're a self-starter who can follow direction. Given a priority list and a target, you get on with it, and you bring back what you learned.
• You're organised. You run multiple threads at once without dropping things, track your own activity, and close your own loops without being chased.
• You're curious about data and technology. You don't need to be technical, but you engage seriously with what Snowplow does and why it matters to the people we sell to. You'll put in the work to understand the product and the ecosystem around it.
• You build trust quickly. You can hold a conversation with a data engineer and a CFO and be credible in both rooms.
• You want to win. You're competitive, you take rejection as information rather than a setback, and you treat every interaction as something to learn from and adapt on.

• Meaningful equity stake
• Competitive Base Salary
• Flexible working
• Generous PTO
• Medical, Dental & Vision Insurance
• 401k
• MacBook and home office equipment allowance
• Enhanced Family leave