Growth Operations Manager

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 Samsung, 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.

The Opportunity: Reporting to the Director of Demand Generation, you’ll own the activation layer of Snowplow’s AI‑powered digital demand engine. Our GTM Engineer has built the foundational infrastructure most companies don’t yet have: dynamic scoring models, automated contact and account enrichment and validation, and real‑time audience segmentation. This role picks up where GTM Engineering leaves off by taking those outputs and integrating them into our activation layer to orchestrate a series of intelligent campaigns that put high‑quality first meetings on the calendars of our sales team. If the GTM Engineer builds the engine, you drive the car. This role is well‑suited for someone who thrives in the data every day to analyze what’s converting, what’s not, why, and what levers should be pulled to further improve the outcome.

What you’ll be doing:

• Campaign Activation & Optimization: Own and operate the full digital portfolio of SQL‑generating campaigns across email, AI SDR, and digital ads, including evergreen campaigns targeting always‑on audiences and push campaigns tied to specific product launches, content releases, or market moments. Serve as the human in the loop for AI‑generated campaign messaging. Define the ingredients of effective outreach for each audience (context, value proposition, tone, call to action), reviewing AI‑generated outputs in small batches before scaling, and iterating inputs based on what converts. Run a continuous test‑and‑learn cycle on a weekly cadence: define hypotheses, launch experiments, analyze results, and scale what works. Monitor campaign performance daily. Proactively identify conversion bottlenecks, drop‑off points, and underperforming segments, and act on them quickly.
• Audience Strategy: Translate GTM engineering outputs into targeted campaign inputs with defined messaging, timing, and channel strategies. Define cohort strategies for each campaign: who we’re targeting, why now, what we’re saying, and what a qualified response looks like. Collaborate with the GTM Engineer to specify any additional data inputs or enrichment criteria needed to build and activate each target audience. Identify and propose new campaigns based on product launches, market signals, partner activity, and competitive dynamics. Ensure campaigns align with broader pipeline goals and strategic GTM initiatives.
• Digital Channel & MarTech Stack Ownership: Own the day‑to‑day health, utilization, and integration of the full marketing technology stack (e.g. Apollo, Pardot, AI SDR). Lead vendor check‑ins to ensure we’re using the full functionality of each platform, maintain documentation for team‑wide collaboration, and ensure maximum ROI from every tool we pay for. Map and manage data flows between platforms. Ensure all tools communicate seamlessly — from intent signals flowing into Salesforce, to Snowflake data feeding campaign audiences programmatically. Document how everything connects and where data lives. Connect first‑party data and intent signals to paid advertising platforms. Build and optimize custom audiences, improve targeting precision, and drive programmatic audience decisions informed by ROI and CPA data. Help make strategic investment decisions based on performance analysis. For every new campaign or digital experience launch, map the full data journey: what events fire, how they route through systems, what automated actions they trigger downstream, and how we close the loop back into our platforms. Monitor deliverability, domain health across email and AI SDR campaigns; flag infrastructure issues to GTM Engineering when system‑level changes are needed.
• Reporting & Analysis: Track and report on meetings booked and SQL volume, MQL→SQL conversion rates, campaign‑level performance, and experiment outcomes on a regular cadence. Leverage Snowplow’s self‑serve analytics capabilities to surface campaign performance and communicate results up to GTM leadership. Use data to uncover the “why”: what’s driving results, what isn’t, and what decisions follow from that.

We would love to hear from you if you have:

• Proven experience in a B2B SaaS marketing operations, growth, or tech role with direct ownership of marketing technology and funnel metric outcomes.
• Audience‑first mindset that is energized by the daily rhythm of running, analyzing, and improving campaigns targeted to highly curated audience segments.
• Experimentation mindset that can design campaigns as experiments, with defined hypotheses and measurable outcomes. You move fast, learn quickly, and aren’t precious about what isn’t working.
• Hands‑on experience integrating CRM, MAP, and data platforms — you’ve built or managed data flows, not just reported on them.
• Strong understanding of account‑based and intent‑driven demand generation strategies.
• Comfortable working with APIs, webhooks, and no‑code/low‑code automation tools (n8n, Zapier, Make, or similar).
• Experience connecting first‑party data signals to paid advertising audiences (LinkedIn, Google, programmatic).
• Analytical rigor — you think in terms of conversion rates, ROI, CPA, pipeline contribution, and funnel convergence.
• Highly self‑directed and structured; able to own multiple platform workstreams simultaneously.

What you get in return for being awesome:

• Meaningful equity stake.
• Generous PTO.
• Private Medical Insurance.
• MacBook and home office equipment allowance.
• Enhanced maternity, paternity, shared parental and adoption leave.