--- title: 'Founding Sales Engineer at Statisfy' canonical: 'https://feeny.ai/job/founding-sales-engineer-statisfy-india-rzfgx0x3r7fr' type: 'job' last_seen: '2026-11-04' --- # Founding Sales Engineer at Statisfy - **Company:** Statisfy - **Location:** India - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-10-30 - **Last confirmed live:** 2026-11-04 - **Apply:** https://jobs.ashbyhq.com/statisfy/2706b69d-b145-479b-b59d-b6dae59e5ae7 ## Job description ## About Statisfy Statisfy is an AI-powered customer intelligence platform. We help enterprise teams understand, manage and grow their customer relationships using AI agents and automation. ## Role Overview We are hiring our first Sales Engineer to win enterprise customers for Statisfy’s AI-powered customer intelligence platform. You’ll be the technical voice in every deal: running tailored product demos, owning pilots from scoping to a signed contract, and earning the trust of technical stakeholders on the buyer side. Our buyers are VPs of Customer Success and CCOs, and their RevOps, IT, data and security teams. You’ll turn their requirements into a scoped, proven solution and hand it off cleanly to onboarding. As a founding member of the go-to-market team, you’ll work hand in hand with Sales, Product and Customer Success. You won’t just run the playbook; you’ll write it, from the demo environment to the pilot framework to the handoff into onboarding. Location & Working Hours This role is based in India and requires working US East Coast (ET) business hours. Our customers and sales team are in North America, so you’ll be live on calls, demos and pilot check-ins during their day. Please apply only if you can sustain this schedule long term. ## What You’ll Do - Product Demos: Lead technical discovery to understand each prospect’s requirements, data sources, systems and success criteria. Build and run demos from those requirements, using the customer’s own use cases and data rather than a generic product tour, leveraging Claude and Claude Code. Run day-in-the-life demos and sandbox trials on the customer’s own data, so they can see agents working before they buy. - Own Pilots & POCs: Scope pilots with clear success criteria, connect prospect data (CRM, support, product usage, communication tools), build agents and workflows that prove value, and drive pilots to a buying decision. - Technical Stakeholder Relationships: Become the trusted advisor to RevOps, IT, data and security teams. Address architecture, integration and data-privacy questions, lead security reviews and questionnaires, and answer RFPs and RFIs, with a reusable answer library and fast turnaround. Address build-versus-buy conversations with technical teams, including teams assembling their own agents with Claude and MCP. - Partner with Sales: Co-own deal strategy with Account Executives, from discovery calls and technical qualification to proposals, objection handling and closing. Sales owns the relationship and commercials; you own technical fit and proof. - Partner with Product: Bring back field insights, competitive intel and feature requests from prospects to shape roadmap priorities. - Partner with Customer Success: Hand off won pilots cleanly, with documented requirements, configurations and success metrics, so onboarding starts fast. - Build the SE Function: Create the demo environment, reusable demo agents and datasets, pilot playbooks, ROI and value-case templates, and technical collateral that future SEs will use. ## What We’re Looking For - 5+ years in a customer-facing technical pre-sales role (Sales Engineer, Solutions Engineer, Solutions Consultant or similar), ideally selling B2B SaaS to US enterprise or mid-market buyers. - A track record of building and delivering product demos and pilots that converted into closed revenue. You’ve led enterprise technical evaluations independently. Equivalent experience as an early-stage SE counts. - Strong knowledge of SaaS systems and integrations: CRM (Salesforce, HubSpot), support platforms (Zendesk, Intercom), product analytics, BI tools and data pipelines. - Hands-on comfort with APIs, scripting, SQL and workflow automation or low-code platforms, enough to build a working pilot yourself. - Hands-on experience with AI tools like Claude, Claude Code, Codex or Cursor. Familiarity with LLM agents, and the ability to explain AI concepts clearly to non-technical buyers. - Excellent communication and storytelling: you’re as comfortable presenting to a VP of Customer Success as you are whiteboarding an integration with their data team. - A founder mindset: you’re self-directed, comfortable with ambiguity, and excited to build a process from scratch at an early-stage startup. Bonus: Experience handling security reviews (SOC 2, GDPR), or having been an early SE at a startup. ## Why Join Us - Be the founding Sales Engineer and shape how Statisfy sells, demos and proves value from day one. - Work at the frontier of AI-powered customer automation, helping enterprises rethink how they manage customer relationships. - Have direct influence on revenue and on product direction. - Join a collaborative, fast-paced startup culture with significant growth opportunities. - Competitive compensation, benefits and equity. How to Apply Apply through this page. In your application, tell us about one demo or pilot you ran that turned into a closed deal. ## About Statisfy ## Company Overview - **One-liner**: Statisfy provides an AI agent platform that automates post-sales workflows for customer success and account management teams. - **Entity Type**: Private (Seed/Early Stage) - **Headquarters**: Menlo Park, California, United States (with an office in New Delhi, India) - **Founded**: 2023 - **Founders**: Munish Gandhi (Co-founder & CEO), Navin Agrawal (Co-founder & CTO) ## Core Business - **Primary industry/industries**: AI-powered Customer Success Software, Post-Sales Automation - **Target customers**: B2B companies with customer success (CS), account management, and post-sales teams; mid-market to enterprise - **Mission or purpose statement**: "To make every customer journey more successful" by eliminating the operational overhead that keeps customer-facing teams from focusing on relationships and growth. ## Products & Services - **Statisfy AI Agent Platform**: A no-code platform featuring over 100 pre-built AI agents that automate post-sales workflows. The platform is built on three pillars: **Predict** (AI health scores, risk alerts, next-best-action), **Generate** (auto-generated QBR decks, meeting prep briefs, account plans, customer emails), and **Automate** (agents that take action — updating CRM fields, escalating at-risk accounts, sending renewal emails). Includes a visual drag-and-drop Agent Studio, human-in-the-loop approvals, and a natural language chat interface ("Stella") for querying customer data. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company) - **Key Metric**: Total Funding — Not publicly disclosed; company is privately held and early-stage. - **Notable Investors/Partners**: Not publicly disclosed. The company lists 50+ integrations with major platforms including Salesforce, HubSpot, Zendesk, Intercom, Slack, Microsoft Teams, Gong, Clari, Mixpanel, Amplitude, and Snowflake. - **Growth Signals**: Headcount grew 45% year-over-year to 19 employees (as of mid-2025). The company has a presence in both the US (Menlo Park) and India (New Delhi). Claims an average time-to-go-live of 2-3 weeks and reports saving 2%+ hours per CSM per week. ## Competitive Advantages - **Action-oriented AI agents**: Unlike many tools that only provide predictions or drafts, Statisfy agents can take autonomous actions (updating CRM fields, sending renewal emails, escalating risks) with human-in-the-loop controls. - **Unified data layer**: 50+ pre-built integrations with bidirectional sync across CRM, support, analytics, notetakers, messaging, and survey tools, creating a single source of truth for customer data. - **No-code agent builder**: Visual drag-and-drop workflow builder that requires no engineering support, enabling CS ops and managers to build and deploy agents quickly. - **Speed to value**: Claims an average go-live time of 2-3 weeks with pre-built agent templates and dedicated onboarding. ## Strategic Focus - **Current priorities**: Expanding the platform's agent library and integration ecosystem; deepening AI capabilities for predictive health scoring and autonomous action; scaling the customer base in the mid-market and enterprise segments. - **Direction for growth**: Building the "operating system" for post-sales teams, moving beyond simple automation to fully autonomous customer lifecycle management. ## Why Work Here - **Culture highlights**: Founded by a former CS leader (Munish Gandhi) who experienced the pain of administrative overhead firsthand, the company is mission-driven to "end the era of operational overhead" for customer-facing teams. The team is small (19 employees) and growing rapidly, offering significant ownership and impact. - **Remote/hybrid/office policy**: Hybrid presence with offices in Menlo Park, CA and New Delhi, India. The company's careers page indicates a distributed team. - **Notable perks or engineering culture**: The engineering team is building at the intersection of AI and customer data, working on complex challenges in natural language processing, workflow automation, and data integration. The company emphasizes a "no engineering required" philosophy for its product, but internally values strong technical talent. The founding team has deep experience from Google, Productiv, and multiple startups. ## Sources 1. [statisfy.com](https://www.statisfy.com/) 2. [statisfy.com/company](https://www.statisfy.com/company) 3. [statisfy.com/product](https://www.statisfy.com/product) 4. [linkedin.com/company/statisfy](https://www.linkedin.com/company/statisfy) 5. [jobs.ashbyhq.com/statisfy](https://jobs.ashbyhq.com/statisfy) ## Other roles at Statisfy - [Founding Sales Engineer](https://feeny.ai/job/founding-sales-engineer-tracebit-new-york-zwtar5q65wzz) — New York, NY - [Founding Sales Engineer](https://feeny.ai/job/founding-sales-engineer-featherless-ai-us-chawrebkjx1a) — US &, Canada - [Founding Sales Engineer](https://feeny.ai/job/founding-sales-engineer-ampersand-san-francisco-4t6ed0kjy48b) — San Francisco, CA - [Founding Sales Engineer](https://feeny.ai/job/founding-sales-engineer-clarasight-remote-tckx3hherejw)