Solutions Engineer

About Traversal Traversal is the AI Site Reliability Engineer (SRE) for the enterprise—already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we’re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. We take pride in assembling the most talented and supportive team, including researchers from MIT, Harvard, and Berkeley, and world‑class engineers from industry such as Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to tackle some of the hardest problems in AI. The Role As a Solutions Engineer at Traversal, you’ll help define how we engage with prospective customers, guiding them from initial technical discovery through successful deployment. This founding customer‑facing role sits at the intersection of technical depth and relationship building. You’ll collaborate with product and engineering to translate customer needs into compelling, customized pilot deployments that deliver high value. Working closely with our CEO, CTO, GTM and Product teams, you’ll help scale founder‑led sales into a repeatable process, serve as the technical voice in prospect conversations, create resources to support go‑to‑market efforts, and relay insights back to shape roadmap priorities. Responsibilities Drive technical discovery and demo conversations with engineering teams evaluating Traversal. Translate complex infrastructure problems into tailored, high‑impact pilot evaluations. Build and maintain demo environments, technical guides, and internal tooling to support our sales process. Partner with product and engineering to scope integrations, relay customer feedback, and influence roadmap direction. Support onboarding and implementation efforts for new customers, ensuring early wins and long‑term adoption. Stay current on observability trends, SRE workflows, and the broader AI infrastructure ecosystem. Requirements 3+ years in a Solutions Engineer, Forward Deployed Engineer, or Solutions Architect role, and/or relevant engineering experience with strong customer instincts. Strong technical background in backend systems, developer tools, cloud infrastructure, or observability platforms. Excellent communication skills, with the ability to explain complex technical concepts to a range of audiences. Experience building POCs, leading demos, or owning technical parts of a sales cycle. Comfortable working in a fast‑paced startup environment with shifting priorities. Project management: able to coordinate across multiple internal/external stakeholders, lead recurring meetings, and drive pilots to completion. Proven enterprise experience navigating complex, multi‑stakeholder sales cycles (POV/POC, Security/Legal/Procurement) from discovery through production. Nice to Have Familiarity with SRE workflows or observability tools like Datadog, Grafana, or New Relic. Hands‑on experience with infrastructure as code tools like Terraform or deployment systems like Kubernetes. Proven ability to create technical enablement content and scale early sales motions. Interest in AI infrastructure and the future of agentic systems. Compensation We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full‑time role in San Francisco is $150,000–$300,000 OTE, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job‑related knowledge. Why You Should Join Us We’ll fully support you with health insurance, a great tech setup, flexible time off, and plenty of in‑office snacks. We offer competitive salary and equity packages and take thoughtful consideration with every hire on our small, high‑impact team. Our collaborative, hard‑working culture encourages building the future of AI‑powered software maintenance. Working here means owning meaningful parts of the product, having the flexibility to move fast, and learning constantly—opportunities to grow your career, make a real impact, and help define a new category of infrastructure software. #J-18808-Ljbffr