Someone with real CS scar tissue who would rather build a system than run a call, and who's excited to work with Product and engineering to scale themselves 100x. Success this year:
Own onboarding for the entire self-serve book - every customer under $30K ARR, Closed Won to first value. ~60 accounts today; plan for several hundred.
Move Activated → Adopted conversion to 80% by day 28. Recurring, habitual use - not logins, not a one-off run. This is the number.
Own early retention - any churn or downgrade inside a customer's first 90 days.
Build the automation behind it - lifecycle and in-app sequences, onboarding checklists, activation instrumentation, health triggers, group kickoffs. 1:1 touch is the exception, not the default.
Resolve every onboarding issue end to end - integrations, APIs, data imports, config, bugs, use-case fit - pulling in Support, Engineering and Product only when needed.
Feed the product loop - find activation drop-offs, run experiments on in-app nudges, bring what you learn back to Product and Growth.
5-6 years in CS with a track record owning onboarding, implementation or activation.
2+ years running digital / tech-touch / pooled CS in a SaaS or AI startup - lifecycle automation and in-app messaging, not only 1:1 calls.
Strong technical aptitude: troubleshoots integrations, APIs, data imports and config independently, and knows when to escalate.
Comfort with product-usage data (PostHog or similar) - defining activation events, reading funnels and health scores, acting on signals - and measurable impact on activation, usage or conversion.
A self-starter who builds process where none exists, with clear written communication and strong prioritisation across a high-volume book.
You own a number, not a queue. Early retention and day-28 adoption are yours, with nothing between what you build and whether it worked.
Your work compounds. A sequence you write runs against every customer we sell, forever. That's the whole point of the role.
You set the pattern. Playbooks, activation definitions, the health model, where automation ends and humans begin - all still open. Whoever takes this role writes it.
Two funded ladders out of this role. You don't have to manage people to grow here.
IC track: Senior / Lead GTM Engineer with a bigger book and higher ARR band, or owning one stage (activation, renewal) across the whole segment - and from there, PM for onboarding and customer experience once V1 is built.
Management track: Manager of a slice of the self-serve journey and the team running it, growing into leading Self-Serve / Digital CS - the entire post-sales motion, the automation roadmap, and the segment's NRR and GRR.
If you crush this role, you'll have your pick of what comes next as we scale.
Skills Required
- 2-3 years of experience in onboarding and implementation, ideally owning onboarding or activation
- Hands-on experience running digital, tech-touch, or pooled customer success in a SaaS or AI startup
- Experience with lifecycle automation and in-app messaging
- Comfort using product-usage data to define activation events, read funnels and health scores, and act on signals
- Ability to navigate ambiguity and build or improve processes independently
- Clear and empathetic written communication
- Strong prioritization across a high-volume account portfolio
- Experience with credits-based, usage-based, or product-led products
- Familiarity with PostHog, Customer.io, Plain, or similar tools and a CRM
- Track record building SOPs, playbooks, in-app guides, or onboarding automation
- Experience working closely with Product and Sales on feedback loops and expansion signals
What We Do
Orbital is an AI-powered sales intelligence platform designed for GTM teams to discover, score, and activate small and midsize business (SMB) leads. By collecting niche, high-signal data from unconventional sources, the platform enables sales teams to identify and engage with SMBs that are often invisible to traditional databases. Orbital streamlines the sales motion, allowing teams to move faster and more effectively without the complexity of legacy solutions.








