--- title: 'Founding Customer Success Engineer at deepline.com' canonical: 'https://feeny.ai/job/founding-customer-success-engineer-deepline-com-new-york-zrjb5h0de1t9' type: 'job' last_seen: '2026-09-11' --- # Founding Customer Success Engineer at deepline.com - **Company:** deepline.com - **Location:** New York, NY - **Compensation:** $140k–$220k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-12 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.gem.com/deepline-com/am9icG9zdDodHDeU4c8To98hlu7De6Pf ## Job description New York City | In person | Full time ## TL;DR Deepline is hiring a Founding Customer Success Engineer to help customers get meaningful value from Deepline. Your job is to make our company continue to feel unusually high-touch and customer facing, as we scale, by building the automation, tools, and operating systems that handle everything a person should not have to do manually. ## Why Deepline Deepline is the agent-first platform for teams to build bespoke GTM software. Agents are making it possible for anyone to build custom software around how a company sells. But turning a good idea into a production system still requires a fragmented stack of data providers, internal and external data, APIs, permissions, integrations, monitoring, and operational infrastructure. Deepline makes that layer practical. We give power users and agents the primitives to build and run the exact systems their company needs. We're already used by thousands of power users at several T1 companies and have grown extremely quickly since we launched in the last six months. We are a lean, deeply technical team moving quickly to build the infrastructure for agent-built software. Software has never been built solely for agents. Come help shape what that looks like. ## The role This is not a traditional support role. You will be the technical partner who helps customers get from a promising idea to a system they trust and rely on. You will go deep on their data, tools, workflows, and goals, guide implementation, solve problems when they emerge, and make sure the product is producing real outcomes. You will also be close to the company’s most important product feedback. The patterns you find across customer deployments should become AI automations, product capabilities, and documentation that make the next customer successful faster. ## What you’ll own - Help customers design and build the GTM systems they need using Deepline. - Diagnose and resolve workflow, data, integration, and product issues with urgency and good judgment. - Build trusted relationships with technical and commercial stakeholders, and make customer goals concrete and measurable. - Turn successful implementations into reusable playbooks, templates, documentation, and product feedback. - Be the customer’s advocate internally, partnering closely with product and engineering to improve the platform. - Identify adoption risks and expansion opportunities early, and help customers get to durable value. Who we’re looking for - You have experience in customer success engineering, solutions engineering, technical account management, implementation, forward-deployed work, or a similarly customer-facing technical role. - You are technically fluent and comfortable working with APIs, data, integrations, and modern software systems. You can write or modify scripts when needed. - You do NOT have to code. You do have to be comfortable using coding agents. - You can translate between business goals and technical decisions, and communicate clearly with both executives and practitioners. - You take ownership of customer outcomes. When something is unclear or broken, you move toward the problem and stay with it. - You enjoy ambiguity and can turn a one-off customer need into a clear, reusable solution. - Experience with GTM systems, CRMs, data infrastructure, or agent products is useful, but not required. ## Why build with us - Shape an entirely new category of software, with a real role in defining both the product and the company. - Work in person in New York with experienced founders and a deeply technical, talent-dense team. - Build at the frontier of AI, on problems that change how products are created, shipped, and brought to market. - Work somewhere truth-seeking and creatively opinionated: we question inherited assumptions and choose fast learning over false certainty. - Competitive salary and meaningful equity. Early teams compound. We are looking for people who raise the ambition, clarity, and quality of the work around them. ## About deepline.com ## Company Overview - **One-liner**: Deepline provides a headless, programmable GTM (go-to-market) data layer that lets AI agents and developers unify enrichment, validation, CRM updates, and workflow execution through a CLI, API, and MCP server. - **Entity Type**: Private (pre-seed, $3.3M raised) - **Headquarters**: New York City, USA - **Founded**: Not publicly available - **Founders**: Jai, Saf, and Chirag (full names not publicly listed) ## Core Business - Primary industry: GTM data infrastructure / Sales & Marketing technology (with strong AI integration) - Target customers: GTM engineers, RevOps teams, developers, and AI agents at B2B companies - Mission: Turn operator intent into governed execution and measurable outcomes — “ambient automation” that solves problems before they’re known. ## Products & Services - **[Deepline CLI]**: Command-line tool for running enrichment, validation, CRM updates, and audience sync directly from the terminal. - **[Deepline Runtime API]**: REST API for programmatic execution of GTM workflows, usable by scripts or AI agents. - **[Remote MCP Server]**: Model Context Protocol endpoint that allows AI coding assistants (e.g., Claude Code, Codex) to discover and run Deepline tools. - **[Plays]**: Versioned, repeatable GTM workflows that define tasks, inputs, provider calls, and output rules — turning manual processes into operational code. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Total Funding**: $3.3M pre-seed (date not specified) - **Key Metric**: Connects 76+ data providers for sales, marketing, and RevOps teams - **Notable Investors/Partners**: Lerer Hippeau, K5 Global, Exceptional Capital, Sabrina Hahn, Rohan Shah - **Growth Signals**: Proven product-market fit with growing adoption; small senior team from Uber, Lyft, OM1, Capchase; hiring across engineering, design, GTM engineering, and partnerships. ## Competitive Advantages - **Headless & programmable** – no visual spreadsheet, pure CLI/API approach appeals to developers and AI agents. - **Unified provider layer** – single interface to 76+ data sources, eliminating the need for multiple API integrations. - **Agent-native architecture** – designed from the ground up for AI agents to discover, invoke, and inspect workflows via MCP. - **Transparent execution** – every run record is inspectable, making workflows auditable and repeatable. ## Strategic Focus - Building a **context management API** that gives AI systems reliable structured context, replacing brittle RAG or fine-tuning. - Developing **new data access patterns** (semantic query interfaces) that replace SQL for AI agents. - Pushing toward **ambient automation** — autonomous GTM execution with guardrails and observability. - Scaling the team (currently hiring engineer #5-6) and deepening enterprise integrations (Snowflake, Salesforce, Gong, etc.). ## Why Work Here - **Tiny senior team** – work directly with founders and a handful of engineers from MIT, Waterloo, Berkeley, Princeton, UCSD, and previous startups (Uber, Lyft, OM1, Capchase). - **Fast iteration** – ship multiple times a day, small reversible changes, no quarterly launches. - **In-person culture** – strong NYC hub with quarterly off-sites; remote-friendly but in-person preferred. - **Compensation** – $140K–220K base + meaningful equity for early-stage roles. - **High ownership** – as one of the first engineers, you’ll define the architecture and data patterns for the next generation of AI-powered GTM. - **Technical challenges** – build semantic layers, knowledge graphs, self-healing data models, and multi-agent orchestration systems. ## Sources 1. [deepline.com](https://deepline.com/) 2. [deepline.com/about](https://deepline.com/about) 3. [deepline.com/blog/what-is-deepline](https://deepline.com/blog/what-is-deepline) 4. [linkedin.com/company/deeplinedata](https://www.linkedin.com/company/deeplinedata) 5. [jobs.gem.com (Deepline careers)](https://jobs.gem.com/deepline-com) (scraped via search results) ## Other roles at deepline.com - [Founding Backend Engineer](https://feeny.ai/job/founding-backend-engineer-deepline-com-new-york-hgh43kdexaf8) — New York, NY - [Founding Go-to-Market Lead](https://feeny.ai/job/founding-go-to-market-lead-deepline-com-new-york-xqgqd5yz8n82) — New York, NY - [Founding Head of Growth](https://feeny.ai/job/founding-head-of-growth-deepline-com-new-york-h8tazkzcawgb) — New York, NY - [Founding Design Engineer](https://feeny.ai/job/founding-design-engineer-deepline-com-new-york-9wqv76e3v6hy) — New York, NY - [Founding Go-to-Market Engineer (Contract-to-Hire)](https://feeny.ai/job/founding-go-to-market-engineer-contract-to-hire-deepline-com-new-york-m4z0sb9zrzs8) — New York, NY - [Founding Full-Stack Engineer](https://feeny.ai/job/founding-full-stack-engineer-deepline-com-new-york-mv35r4szt57c) — New York, NY