Solutions Engineer

AI; San Francisco (CA); On-site; USD 150,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Startup equity

Flexible time off

Job summary

AI is seeking a dedicated Solutions Engineer in San Francisco to engage with prospective customers and guide them through successful deployments. This role is vital at the intersection of technical depth and relationship building.

Successful candidates will translate customer needs into impactful pilot deployments while collaborating with various teams. The position offers a competitive salary range of $150,000–$300,000, health insurance, and equity options, all within a dynamic startup environment.

Qualifications

• 3+ years in a Solutions Engineer role or similar.
• Experience in cloud infrastructure or observability platforms.
• Ability to explain complex technical concepts clearly.

Responsibilities

• Drive technical discovery and demo conversations.
• Translate complex infrastructure problems for evaluations.
• Build and maintain demo environments.

Skills

Strong technical background in backend systems

Excellent communication skills

Experience building POCs

Project management

Familiarity with SRE workflows

Tools

Terraform

Kubernetes

Job description

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. Hence, what we’re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible.

The Role

As a Solutions Engineer at Traversal, you’ll help define how we engage with prospective customers, you'll guide them from initial technical discovery through successful deployment. This is a foundational, customer-facing role 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 achieve high value for customers. You’ll work closely with our CEO, CTO, GTM and Product teams to help scale founder‑led sales into a repeatable process. You’ll act as the technical voice in conversations with prospects, create resources to support go‑to‑market efforts, and relay insights back to the team to shape roadmap priorities.

If you thrive in high‑ownership, high‑velocity environments—and are excited to help define how AI‑native infrastructure products are introduced and adopted we’d love to meet you.

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.
• 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 make sure you’re fully supported 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.

We have a collaborative, hard‑working culture and are energized by 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. This is a place to grow your career, make a real impact, and help define a new category of infrastructure software.