Clarify · 6 days ago
GTM Engineer (Growth)
Clarify is a company that has built its GTM engine from scratch and is seeking a dedicated GTM Engineer to own the execution of growth programs. This role involves designing workflows, running experiments, and building systems to enhance lifecycle marketing, performance marketing, and signal-based outbound strategies.
Computer Software
Responsibilities
Design, build, and maintain lifecycle automation systems (events, scoring, segmentation, messaging)
Create segmented, signal-based messaging that responds to real user behavior
Partner with engineering to evolve our Customer.io, scoring, and enrichment infrastructure
Design onboarding flows that increase activation and "aha" moments
Own the experimentation framework, measurement, and iteration loop for paid acquisition, working with an agency for execution support
Own budget recommendations, channel mix, and testing roadmap
Partner with our team on landing pages, lead magnets, offers, and creative testing
Translate performance insights into iterative improvements across the funnel
Design and implement automated outbound workflows triggered by real-time buyer signals
Build outbound playbooks that scale—short, punchy, high-converting scripts and sequences
Work closely with the sales team to develop messaging that reps actually want to use
Support AEs with intentional outreach plays that drive meetings
Qualification
Required
Strong technical fluency: You can audit Customer.io flows, build Clay workflows, write SQL queries for segmentation, and debug tracking issues without heavy engineering support
You are not a software engineer—but you are comfortable working closely with data, tooling, and automation, and you enjoy getting your hands dirty in systems
3–6 years in growth, performance marketing, lifecycle, or outbound GTM at a B2B SaaS startup
You've built acquisition or lifecycle systems from scratch—not just inherited them
Exceptional writing: Clear, concise, persuasive, and human
Deep B2B SaaS metrics knowledge: CAC, LTV, activation rates, conversion funnels
Comfortable with tools like Customer.io, Clay, Zapier, Clearbit, Segment, PostHog
Experimentation mindset: You know how to design experiments, measure performance, and run fast cycles
Scrappy: You can build V1 yourself without waiting on others
We value speed and learning velocity, and the right person will use AI as leverage—not a shortcut—to ship more experiments and learn faster
Preferred
You're energized by ambiguity and shipped-first iterations
You get excited by building the machine, not just running campaigns inside one
You like being deeply in the work—writing copy, pulling data, designing tests
You like working across the full funnel: paid → lifecycle → outbound → product experiments
You enjoy collaborating with technical teammates and can speak in systems
You see growth as a craft, not a job description
You're curious about AI tools and excited to use them to scale your output—shipping experiments faster, analyzing performance deeper, and iterating quickly to learn
Company
Clarify
Focus on closing, not clicking.
Funding
Current Stage
Early StageCompany data provided by crunchbase