Responsibilities
- Provide technical guidance throughout sales cycles and partner engagements.
- Understand customer use cases and pain points and design tailored solutions.
- Deliver product demos, proofs of concept, proofs of value, workshops, bootcamps, and certifications.
- Prepare RFP/RFI responses, technical proposals, playbooks, demo assets, guides, and case studies.
- Translate business challenges into DevRev-aligned architectures and scalable solutions.
- Support customization, integrations, configurations, onboarding, and issue resolution with Product and Engineering.
- Enable partner SEs, resellers, integrators, and sales teams through training and technical materials.
- Build trusted-advisor relationships and ensure smooth handoffs to Customer Success.
- Monitor competitors, share market insights, mentor peers, and support solution strategy.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 15+ years of experience in Solutions or Sales Engineering, ideally within B2B SaaS.
- Demonstrated experience delivering product demos, workshops, technical proposals, proofs of concept, and proofs of value.
- Strong discovery, consultative selling, communication, storytelling, presentation, and whiteboarding skills.
- Experience collaborating with Sales, Product, Engineering, and Customer Success teams and engaging technical and executive stakeholders.
- Technical acumen across APIs, integrations, DevOps, cloud platforms, modern SaaS stacks, webhooks, and database querying with SQL.
- Experience with Python or JavaScript/TypeScript and exposure to Jira, GitHub, Salesforce, Zendesk, ServiceNow, and low-code platforms.
- Familiarity with AWS, Azure, and GCP.
- Bonus experience with GenAI tools, prompt design, and LLM-based workflows.
- Willingness to travel up to 50% as needed.
Benefits
- Travel up to 50% as needed.
- Equal opportunity employer.
- Employment is subject to successful background verification.
Tech Stack
Categories
About DevRev
Computer is the most precise, efficient, and safe AI platform for enterprise search, employee service/help desk, and customer support (including voice). It works by unifying all your existing systems and data into a patented, AI-ready knowledge graph: Native Shared Memory. Every tool, every team, every customer conversation lives in this compounding context. So every answer and action is grounded in what your company knows, and how it operates. With permissions and safety guardrails respected, always. PROVEN EFFICIENCY, PRECISION, AND SAFETY We tested Computer against the market-leading AI on enterprise data: – 48% more accurate – 4.4x fewer tokens used – Cost stays flat at 256x data growth (vs. 29% growth) These results are from “Enterprise-Bench” – the AI industry’s first open, vendor-neutral benchmarking tool. Developed with Laude Institute, validated by Professor Alexandros Dimakis (UC Berkeley). The benchmark model, dataset, and traces are all public. (Feel free to get in touch to learn more.) REAL-WORLD RESULTS More and more companies are trusting Computer: – Bolt: 40% faster ticket resolution. 43% cut in live ticket volume. 25% increase in customer retention. – Bill: 70% of support tickets fully resolved without a human. 100% deployment across all market segments in 15 weeks. Up to $6M in annual savings. – $1.1B org*: 2,000+ new hires onboarded in one year without hiring extra IT staff. 10 weeks to full deployment across all teams. *We can’t reveal the name of our (very) happy customer just yet – but we will soon. DevRev is headquartered in Palo Alto, with eight global offices. We’re backed by Khosla Ventures and Mayfield, with $150M+ raised. Founded by Dheeraj Pandey, former co-founder and CEO of Nutanix [NASDAQ: NTNX], and board member at Adobe [NASDAQ: ADBE], alongside Manoj Agarwal, former SVP of Engineering at Nutanix.