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Relevance AI

Pre- Sales Solutions Engineer

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In-Office
San Francisco, CA, USA
In-Office
San Francisco, CA, USA

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Location 📍: San Francisco, United States (Hybrid - 3 Days In Office)

About Us 🚀

At Relevance AI, we’re building the home of the AI workforce.

Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.

With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.

We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.

Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.

This year, we were proud to be named LinkedIn’s #1 Startup in Australia.

If you want to define how the world works with AI, join us.

The Role 🥳

We are open to individuals across varied experience levels in pre/ post-sales roles, however this role will be heavier on the pre-sales side. As an Pre Sales Solutions Engineer at Relevance AI, your role will be critical in helping our Enterprise customers leverage AI agents to solve core business problems.

Using our low-code/ no-code platform, you will get the opportunity to co-design, architect and develop production-grade AI agents at Enterprise scale. You will also be an evangelist and enabler of our technology, driving technical success and product adoption.

This is an exciting opportunity for someone passionate about agentic AI, creative problem-solving, and working directly with customers to transform their businesses with intelligent automation.

This role is part of our continuous growth. We practice always-on hiring as we scale the Solutions Engineering team, and we regularly add exceptional talent to join our expanding team.

Your impact💥

Your work will involve both engineering excellence and close customer collaboration, bridging product strategy with real-world impact. Key responsibilities include:

  • Engaging with customer stakeholders. technical and executive. to identify high-impact automation opportunities and guide AI agent adoption across pre- and post-sales phases.

  • Delivering compelling, tailored presentations and demonstrations that showcase the business value and operational impact of AI agents.

  • Conducting in-depth discovery sessions to assess and understand customer requirements as well as their deepest pain points.

  • Designing and developing tailored AI agents that solve real business problems, ensuring operational fit, scalability, and measurable value.

  • Lead customer enablement through hands-on training, onboarding, and ongoing support to drive self-sufficiency on the Relevance AI platform.

  • Act as a strategic partner, influencing product direction through customer insights while identifying opportunities for deeper integration and growth.

What We’re Looking For 🧠

  • Highly accomplished experience in solutions engineering/ architecture, technical consulting, forward-deployed engineering or similar roles at the intersection between customers and product.

  • Engineering mindset and strong technical foundations. You will need to be comfortable working with APIs. Experience with Python/ Gen AI/ LLMs is highly valued.

  • Ability to translate business needs into technical solutions and communicate complex concepts to non-technical stakeholders.

  • Experience building demo environments and productionising use-cases on low-code SaaS platforms and/or AI solutions.

  • Proven customer-facing skills with a track record of driving technical value and success with Enterprise customers in fast paced environments.

  • Passion for AI and its real-world applications, with a customer-first mindset and a drive for continuous learning.

Why Join Us? 🌟

  • Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.

  • We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.

  • We’ve set high standards in our high-trust environment—we hire exceptional people to do great work. In return, we reward our people with competitive salaries, unparalleled professional growth and career-defining opportunities.

  • Relevance AI is well-funded by leading investors, including Insights Partners, Peak XV, King River Capital.

  • As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.

Benefits ✨

  • 🩺 Health Insurance Contribution – Relevance AI contributes to the cost of individual medical, dental, and vision insurance for employees.

  • 🚍 Commuter Benefits – Save on your commute with pre-tax deductions for transit and parking expenses

  • 🏖️ Unlimited Annual Leave – Flexible time off policy to rest, recharge, and take care of what matters most

  • 📈 ESOP – Employee Stock Ownership Plan so you can grow with the company

  • 🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills

  • 👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent

  • 🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag

  • 🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.

  • 🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter

  • 🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!

  • 🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

Work Authorization: At this time, we are not able to sponsor visas or transfer immigration status for candidates applying to U.S.-based roles. You must be authorized to work in the United States without current or future sponsorship.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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