5-7 years of experience in post-sale roles at infrastructure or AI companies
Strong understanding of agent frameworks and background-agent workloads
Proven ability to define outcome metrics linked to commercial impact
Experience in identifying expansion opportunities and renewal risks
Ability to build functions from the ground up rather than inheriting existing ones
Responsibilities
Own customer outcomes for strategic accounts and drive retention and expansion
Define success metrics with customers prior to go-live
Develop dashboards that connect metrics to economic cases sold by the GTM team
Collaborate with Deployed Engineering on strategic deployments
Create reference architectures based on customer workload focus
Establish a structured operating cadence to convert ROI into renewals and expansions
Manage the product feedback loop by prioritizing usage signals and friction patterns for Product
Benefits
Competitive salary
Generous equity
Visa sponsorships
401K plans
Daily lunch & office snacks
Dinner at the office
Unlimited vacation
Caltrain pass reimbursement
Full Job Description
Job: You will own customer outcomes across Parallel's strategic accounts and make retention and expansion a deliberate motion as we scale. You'll define what success looks like with our customers before go-live and build the dashboard tying every metric back to the economic case the GTM team sold against. You'll partner with Deployed Engineering on strategic deployments, build reference architectures for the workloads the customer base is concentrating around, and run a structured operating cadence that turns realized ROI into expansion, renewals, and references the AE team carries into the next deal. You'll also own the customer 12 product feedback loop, routing usage signals and friction patterns into prioritized input Product can act on.
You: Have run post-sale at an infrastructure or AI company and can speak credibly about agent frameworks, background-agent workloads, and how our APIs compose into a real customer workflow. You've defined outcome metrics tied to commercial impact before, and you know the difference between a customer who's using the product and a customer whose ROI is visible enough to expand against. You see expansion whitespace early, you know when a renewal is at risk before the QBR, and you're energized by building the function from scratch rather than inheriting one.
