Relevance AI

Establish and scale SRE best practices, ensure >99.9% uptime, architect AWS infrastructure with Terraform, design observability systems, manage incidents, and embed reliability culture across teams. | 5+ years in SRE/DevOps roles with enterprise SaaS experience, deep AWS expertise, Infrastructure as Code skills, observability stack experience, and incident management. | Location 📍: San Francisco, USA (Hybrid 3 days/week) About Us 🚀 At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce. We’re building a new category of AI automation, enabling teams to create and deploy intelligent AI agents that replicate human-quality work, decision-making, and collaboration at scale. We’re scaling fast backed by top global investors including Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital and our platform is already trusted by industry leaders like Canva, Databricks, Confluent, KMPG, Autodesk, and more. With offices in Sydney 🇦🇺 and San Francisco 🇺🇸 (and a new hub launching in Barcelona 🇪🇸), this is your chance to shape the future of work on a global stage. The Role 🧠 We’re looking for a Founding Site Reliability Engineer to join us as our first SRE hire in San Francisco. We are open to hiring someone who is Senior, Lead or Principal level and will be candidate led. This role is perfect for someone ready to establish and scale the SRE discipline from the ground up in one of the fastest-growing AI companies globally. You’ll own the reliability, scalability, and security of our platform as we power tens of thousands of multi-agent workloads across multiple regions. You’ll partner closely with our founders, engineering leads, and product teams to define our reliability culture, shape long-term strategy, and build world-class infrastructure for enterprise scale. What You’ll Do 💪 Own SRE establishing best practices, tooling, and culture Tackle reliability challenges unique to multi-agent orchestration at enterprise scale Guarantee >99.9% uptime of production systems, ensuring reliability at global scale Architect and automate AWS infrastructure with Terraform and CI/CD pipelines Design observability systems across microservices, APIs, and vector infrastructure (metrics, tracing, logging) Drive down incidents and MTTR through runbooks, alerting, and incident response excellence Help scale infra to support hundreds of thousands of agents and billions of API calls Partner with engineering teams to embed SRE principles into the SDLC and shape org-wide reliability strategy Act as a founding voice in our SF office, influencing product direction and engineering culture What We’re Looking For 🧠 5+ years in SRE/DevOps/Infrastructure roles, with experience in enterprise SaaS environments. Deep AWS expertise (EC2, ECS/EKS, Lambda, RDS, VPC, IAM). Proven track record with Infrastructure as Code (Terraform, Kubernetes/EKS, CDK, or CloudFormation). Hands-on with observability stacks (CloudWatch, Grafana, Prometheus, Datadog). Incident management experience in production SaaS systems, including on-call, postmortems, and reliability improvements. Bonus: Prior exposure to AI/ML platforms, data-heavy systems, or multi-agent workloads. Tech Stack 🧰 AWS, Kubernetes/EKS, Terraform, GitHub Actions, Postgres/Mongo, Prometheus/Grafana, CloudWatch, PagerDuty/BetterStack

Design and develop AI agents on a low-code platform, engage with customers to identify automation opportunities, deliver presentations and training, and influence product direction. | Experience in solutions engineering or technical consulting, strong technical foundation including Python and APIs, customer-facing skills, and passion for AI applications. | Location 📍: San Francisco, United States (Hybrid - 3 Days In Office) About Us 🚀 At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce. We’re building a new type of automation platform, for anyone to create and use AI agents that can replicate human quality work, decision making and collaboration. We are scaling fast to meet unprecedented customer demand and we need exceptional talent to help us grow. If you’re ready to be part of a trailblazing company at the cutting edge of AI, this is the place for you. The Role 🥳 We are open to individuals across varied experience levels in pre/ post-sales roles, this role will be a mix of post and pre sales. As an AI Agent 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 🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag 🍱 Team Meals – Enjoy free Friday lunches, Uber Eats dinners, and regular catered office lunches 🪩 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. A few clubs we already have are hiking, chess, and board game nights. We also have a social committee you can join—new ideas are always welcome! 🍿 Snacks & Drinks Galore – Stay energised with a wide selection of snacks and a fully stocked fridge of drinks in the office 🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work 🧠 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.

Engage with customers to identify automation opportunities, design and develop AI agents on a low-code platform, deliver demos and training, and influence product direction. | Experience in solutions engineering or technical consulting with strong technical foundations, comfortable with APIs and Python, customer-facing skills, and passion for AI. | Location 📍: San Francisco, United States (Hybrid - 3 Days In Office) About Us 🚀 At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce. We’re building a new type of automation platform, for anyone to create and use AI agents that can replicate human quality work, decision making and collaboration. We are scaling fast to meet unprecedented customer demand and we need exceptional talent to help us grow. If you’re ready to be part of a trailblazing company at the cutting edge of AI, this is the place for you. 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 AI Agent 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 • 🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag • 🍱 Team Meals – Enjoy free Friday lunches, Uber Eats dinners, and regular catered office lunches • 🪩 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. A few clubs we already have are hiking, chess, and board game nights. We also have a social committee you can join—new ideas are always welcome! • 🍿 Snacks & Drinks Galore – Stay energised with a wide selection of snacks and a fully stocked fridge of drinks in the office • 🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work • 🧠 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.