About Adversus

Adversus helps revenue teams connect with the right prospects through efficient outbound and sales engagement. We’re building a data-driven RevOps function to sharpen how we define, target, and win in our market.

The opportunity

This is a brand-new role in a newly established RevOps function. You’ll work directly with the CRO to build the data foundation and modeling capabilities that improve how we define and sharpen our Ideal Customer Profile (ICP), identify the best accounts, and enable smarter go-to-market decisions.

You’ll combine analytics, experimentation, and machine learning with a practical business mindset. If you’re excited by turning messy revenue data into clear recommendations — and you’re curious about modern GTM AI tools (e.g., using LLM workflows to analyze call transcripts and spot patterns) — this role is for you.

What you’ll do

• ICP definition & sharpening: Build data-driven ICP models using firmographic/financial data, product usage signals, pipeline outcomes, and sales activity data.

• Segmentation & scoring: Develop account and lead scoring approaches (statistical/ML) to prioritize the right accounts and routes-to-market.

• Revenue funnel analysis: Identify drivers of conversion and drop-off across the funnel (lead → meeting → opportunity → win), and propose measurable improvements.

• Experimentation: Design and evaluate GTM experiments (messaging, sequences, targeting, pricing/packaging hypotheses) with strong measurement.

• Transcript & text analytics: Use modern AI/LLM tooling to analyze call transcripts, emails, and notes to identify patterns (e.g., objection themes, value props that resonate, churn drivers).

• Data foundations (in partnership with RevOps/Engineering): Help define events, metrics, and schemas; ensure data quality; make analysis repeatable.

• Decision support for leadership: Translate findings into actionable recommendations for Sales/Marketing/CS leadership — and help operationalize them.

  
  

What you’ll bring

• 3+ years in data science / analytics in a commercial context (RevOps, Growth, Sales/Marketing analytics, B2B SaaS preferred).

• Hands-on experience building and evaluating predictive models (e.g., propensity, churn/retention, win probability, lead/account scoring).

• Strong SQL and Python skills; comfort working with imperfect, real-world data.

• Ability to define success metrics, create clear narratives, and influence stakeholders.

• Curiosity about GTM AI and modern tooling (LLMs, agents, transcript analysis workflows). Experience is a plus — interest is required.

• Pragmatic mindset: you optimize for impact, not “perfect models.”

  
  

Nice to have

• Experience with B2B firmographic/financial data sources and enrichment.

• Familiarity with common revenue stack tools (CRM, sales engagement, marketing automation, BI).

• Experience with causal inference / uplift modeling / experimentation at scale.

• Building lightweight internal tools (dashboards, notebooks, small services) used by commercial teams.

  
  

Why this role matters

You’ll shape how Adversus decides who to target, why they’re a fit, and how we win — with measurable impact on pipeline quality, conversion, and revenue efficiency. Because the function is new, you’ll have significant ownership and direct access to leadership.

How we work

• High trust and high ownership

• Direct collaboration with Sales, Marketing, CS, and leadership

• We value practical, shippable insights and fast learning loops