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Who We Are
Testsigma is building the world's first Quality Intelligence Platform — the infrastructure layer that sits between every code change and every confident release. We're at an inflection point: the product is proven, the market is real, and now we're scaling the team and the platform that will define this category.
We move fast. We hold a high bar. We don't separate building from owning. Every person on this team — engineering, product, GTM — is accountable for outcomes, not activities.
This Engineering Manager role is one of the most consequential hires we'll make this year. You'll lead the team building the most technically complex parts of our platform, work directly with the founding team, and be the connective tissue between engineering, product, and the customers who depend on what we ship.
What This Role Is
You lead the engineering team responsible for Testsigma's agent platform, knowledge graph infrastructure, and core product experience. Your team includes AI architects, AI/agent systems engineers, backend platform engineers, and frontend engineers.
You are not a coordinator. You are a technical leader who manages, and a manager who stays close enough to the technology to make good decisions about it.
You own two things above everything else: quality of what ships and when it ships — not as competing priorities, but as a single standard. You hold both simultaneously and you build a team that does the same.
What You'll Own
1. Engineering Execution and Delivery
You own the team's delivery commitments. Roadmap items have dates, and those dates mean something. You work with the GPM team to scope accurately, surface risks early, and protect the team from scope creep without losing customer responsiveness.
You run a tight engineering cadence. Sprints have clear goals. Retros produce actual changes. Standups surface blockers, not just status.
2. Product Quality
You are accountable for the quality of everything that ships under your team's ownership:
Quality is not QA's job. It's yours.
3. Platform Stability and Reliability
You own the reliability posture of the platform — uptime, latency, error rates, incident response, and the engineering practices that prevent incidents from recurring. You define SLOs, review them monthly, and lead incident responses from the front — not the sidelines.
4. Team Leadership and Growth
You build the team — hiring, onboarding, mentoring, performance management. You have a high bar for who joins and you hold it even when there's hiring pressure. You develop the engineers on your team — not just as engineers, but as owners.
Your team spans significant range: AI architects, AI/agent engineers, backend engineers, and frontend engineers. You don't need to be the deepest expert in each — but you need to be credible enough to evaluate work, give useful feedback, and make good technical trade-off decisions.
5. PM Partnership
You work closely with Product Managers on roadmap prioritization, sprint planning, and quarterly goal-setting. You push back on scope that isn't achievable, surface engineering dependencies, and jointly own the outcome. When requirements are ambiguous, you close the gap — you don't let it become a delivery risk.
6. GTM and Customer Involvement
This is not a back-office engineering role. You work directly with GTM — sales, customer success, solutions engineering — and with customers themselves:
What You Need to Have Done Before
Non-Negotiable
Strong Advantage
How You Lead
You lead by standard, not by presence. The team knows what good looks like because you've shown them — in code reviews, in design discussions, in how you handle a production incident, in how you give feedback.
You give direct feedback. Not wrapped in qualifications. Not only in performance reviews. Real-time, specific, actionable — the kind that makes engineers better.
You protect the team from distraction and hold them accountable for outcomes. Both. At the same time. That tension is part of the job and you don't collapse it in either direction.
The Standard We Hold
No excuses. When something goes wrong, the first question is what did we learn and what are we changing — not here's why it wasn't our fault. Accountability is assumed, not negotiated.
High ownership. The outcome is yours. Not the tasks. The outcome. If a customer is experiencing instability, that's your problem to solve — even if the root cause is three levels removed from your direct team.
Customer commitment is a promise. When your team makes a commitment to a customer — delivery date, reliability target, feature scope — that commitment is treated like a contract.
What We Offer
Job ID: 149086073
Skills:
Python, LangChain, deployment strategies, Hugging Face, vector databases, Anthropic, AI architecture, Agentic AI systems, LangGraph, Generative AI solutions, multi-agent workflows, evaluation frameworks, cloud AI platforms, model lifecycle management, OpenAI, LlamaIndex, Prompt Engineering, Governance
Skills:
Incident Response, Distributed Systems, change management, compute technologies, large-scale infrastructure, Distributed Cloud On-Premise production operations, Machine Learning Infrastructure, systems engineering practices, Hardware Architecture, Monitoring, service-level objectives
Skills:
security consulting , Digital Forensics, Endpoint Security, Cryptography, Networking, Incident Response, Security Solutions, risk management, threat identification, Internet Applications, cloud authentication, computer security incident response, access management, business continuity, security logs, directory services, Email
Skills:
Incident Response, Java, C, Javascript, Python, telemetry diagnostics
Skills:
compiler , Gitlab, Java, Networking Concepts, JIRA, Android Framework, Verification experience, Coverage Analysis tools, RS232 protocols knowledge, Real Simulated Test benches, Agile Process knowledge, Design Code development, Threads knowledge, Makefile creation, Integrator benches usage, Inter process communication, Linker, A429, AFDX, Coding Analysis
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