
CodeKarma helps engineering teams see how their code actually behaves in production so they can fix issues and improve quality faster. The platform uses AI to surface real-time production insightsโฆ

CodeKarma helps engineering teams see how their code actually behaves in production so they can fix issues and improve quality faster. The platform uses AI to surface real-time production insightsโฆ
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Modern distributed systems no longer fail in isolation. When incidents occur, teams are forced to interpret logs, metrics, and traces to reconstruct what happened. CodeKarma's thesis: system behavior must be directly observed, not inferred. CodeKarma is building an execution intelligence layer capturing runtime behavior directly from production.
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We are seeking a founding Customer Success Lead (CSL) who brings the commercial clarity and strategic focus of an enterprise Technical Account Manager (TAM).
Your core mandate: ensure clients realize measurable value so they expand their footprint. You will own post-sale execution, building long-term partnerships with our key stakeholders: VPs of Engineering, DevEx/Platform Leads, and Principal Architects.
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โข Proactive Value Delivery: You will manage the entire customer journey from onboarding to continuous value realization.
โข Executive Alignment: Run business reviews and facilitate workshops, translating CodeKarma's usage into concrete economic and operational outcomes for engineering leadership.
โข Proof Asset Generation: Partner with clients to build Outcome Proof, documenting clear baseline metrics and subsequent improvements to justify renewals and expansion.
โข Feedback Loop: Actively gather client feedback and feature requests, channeling them back to our product and engineering teams to shape the roadmap.
โข Value-Led Expansion: Drive account expansion by ensuring clients achieve ROI. When a client sees value in their initial use case, you will proactively guide them to expand into other products, adjacent teams, and deeper integrations.
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โข CS Degree or strictly equivalent technical background.
โข Extensive experience as an Enterprise TAM, Customer Success Manager, or similar commercial client-facing role.
โข Strong familiarity with the observability, APM, or cloud-infrastructure domains.
โข Ability to hold peer-level conversations with VPs of Engineering about reducing incident costs and change risk.
โข Understanding of the AI code generation wave and the operational complexity it introduces to engineering teams and SDLC
โข A true builder's mindset. You will not be inheriting a playbook; you will be architecting our entire Customer Success framework from scratch, including onboarding sequences, health scoring, expansion playbooks, and renewal strategies.
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โข Gain deep, hands-on experience operationalizing AI engines that reason over complex runtime behavior.
โข Step into a clear path to leadership, with the direct opportunity to hire, mentor, and scale our future Customer Success team as the account base grows.