As a Solutions Engineer, you will engage with customers to provide technical expertise, lead presentations, build POCs, and tackle customer challenges. You will collaborate with sales, product management, and engineering teams to enhance customer experience and drive adoption of Redpanda's solutions.
Redpanda is pioneering the Agentic Data Plane (ADP) - a new category in AI infrastructure that makes it simple and secure to connect AI agents with enterprise data and systems. Built on a multi-modal data streaming engine, Redpanda empowers agentic applications that reason and act in real-time with speed, autonomy, and precision.
Global leaders including Activision Blizzard, Cisco, Moody's, Texas Instruments, Vodafone and 2 of the top 5 banks in the U.S. rely on Redpanda to process hundreds of terabytes of data a day.
Backed by premier venture investors Lightspeed, GV and Haystack VC, Redpanda is a diverse, people-first organization with teams distributed around the globe.
About the Role:
Come and join our rapidly growing Solutions Engineer team! As a Solutions Engineer, you will help qualify and close opportunities with customers and partners and provide technical expertise through sales presentations, product demonstrations, and supporting technical evaluations
You Will:
- Work alongside the sales team to introduce Redpanda to our potential customers
- Lead product and solution briefings, build proof-of-concepts (POC), run live product demos, and prototype Redpanda integrations
- Partner with Redpanda product management, engineering and support teams to solve customer challenges and improve customer experience
- Identify and address customers' key technical objections and develop the strategies to address those blockers to adoption
You Have:
- 3-8+ years of prior experience leading presentations, collecting requirements, developing solution architectures, and teaching prospective users or project teams how to use software similar to Redpanda
- Comfortable developing/prototyping solutions in many different languages (e.g., Java, Python, Go, and Javascript)
- Passion for working on complex technical problems and have a strong understanding of modern infrastructure and streaming technologies (Kafka ecosystem preferred)
- Strong ability to build relationships with our partners, customers, and open-source users
- Experience demonstrating technical concepts, including presenting and whiteboarding
- Collaborative spirit and enjoy making sure each team gets customer feedback to provide great customer experience
- Flexibility to travel to meet customers, attend events or conferences or wherever the work takes you
- Comfortable with Linux and Kubernetes
- Proficient with one or more of the following cloud providers: AWS, GCP and Azure
U.S. base salary range for this role is $168,500 - $198,000, not including bonus and/or commission. Our salary ranges are determined by role, level, and location. As a remote-first company, we strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process.
Join Redpanda if you’d enjoy being part of a fast-moving, diverse, people-first organization with team members around the globe and a culture based on trust, transparency, communication, and kindness. You'll dive into a nimble, high-impact team with the latest AI tools — and the budget to actually use them.
#LI-RemoteRedpanda Data San Francisco, California, USA Office
5758 Geary Blvd. #153, San Francisco, CA, United States, 94121
Similar Jobs
Consumer Web • eCommerce • Internet of Things
Serve as the technical lead for partner integrations of DNSid: design and build production-grade integrations, run POCs and workshops, produce enablement materials, translate partner requirements into product feedback, and own the path from demo to deployment while collaborating with product, standards, and engineering teams.
Top Skills:
Agent RuntimesAPIsAWSDnsDnssecGoJwksJwtMcpNode.jsOauthOidcOktaOrchestration FrameworksPkiPythonSdksTlsTxt RecordsTypescript
Cloud • Information Technology • Security • Software • Cybersecurity
Senior Solutions Engineer driving technical sales: qualify use cases, lead demos and PoCs, advise customers on Cloudflare implementations, and provide strategic guidance on internet security and performance. Collaborate with account teams and travel 20-30% for customer meetings and events.
Top Skills:
BashBgpCliDnsGoGreHipaaHTTPHttpsJavaScriptLuaOsi ModelPci DssPythonRestful ApisSaseSoc-2Ssl/TlsTcpUdpWeb InspectorZero Trust
Security • Software • Cybersecurity • Automation
Lead technical sales efforts for enterprise accounts: support prospecting and renewals, run demos and proofs of concept, respond to RFPs/RFIs, translate customer needs to product teams, model business cases, and shorten sales cycles while ensuring customer satisfaction and upsell opportunities.
Top Skills:
AWSGCPSaaSSoftware DevelopmentWeb Technologies
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
