Role Description We’re hiring a GTM Engineer to design, build, and own the automations, AI agents, and internal tools that power Gong’s go-to-market organization. GTM engineering is an emerging discipline: builders embedded in the revenue organization who combine AI, code, and automation platforms to ship systems that help acquire, convert, and grow customers. You’ll join the GTM Automations & Data team within Revenue Operations and help define how this discipline scales at Gong. You’ll ship production automations and applications across Sales, SDR, Customer Success, and Partnerships, including: - Prospecting intelligence - Account signals - Pipeline governance - Renewals - Expansion We operate like a small product engineering team, with short sprints, clear instrumentation, and ownership after launch. We measure success through business outcomes such as: - Pipeline created - Conversion improved - Retention and expansion - Seller productivity This role also plays a key part in our Gong-on-Gong / Customer Zero initiative. We use Gong's own AI platform internally as a proving ground for new agentic workflows and revenue infrastructure, and what we learn shapes what ships to customers. Responsibilities - AI & Agentic Workflows: - Design, build, and deploy AI-powered workflows and agents across the GTM lifecycle, including prospecting intelligence, account research, signal monitoring, pipeline management, and renewal and expansion plays. - Evolve our automation portfolio intelligently from deterministic rules toward agentic logic, with the guardrails, audit trails, and human review steps that revenue-critical work demands. - Translate ambiguous operational problems into scoped, shippable builds. - Automation & Integration Engineering: - Build and scale production automations across the revenue stack using platforms such as Workato, plus custom code where platforms run out of road. - Own reliability for what you ship through observability, retries, alerting, safe failure paths, and human review where appropriate. - Build the workflows that keep the revenue engine running: lead routing and lifecycle management, enrichment orchestration, territory and account ownership, pipeline governance. - Internal Apps & Tooling: - Design and ship internal applications using AI-native development tools and modern web stacks, reducing reliance on fragmented point solutions. - Inform build-vs-buy decisions with working prototypes rather than slide decks. - Customer Zero: - Build using Gong's own platform, including conversation data, signals, trackers, and workflows, using our products internally to develop new AI capabilities. - Prototype automation patterns that shape how modern revenue teams operate, and feed what we learn back to Gong's product teams. - Instrumentation & Impact: - Ship every build with performance tracking, so adoption and impact are clearly visible. - Measure your work in business outcomes such as ops-sourced pipeline, conversion lift, and rep productivity, and iterate against what the data says. - GTM Partnership: - Embed with Sales, SDR, Customer Success, and Marketing stakeholders, and pressure-test builds in the field through rep ride-alongs and Gong call listening. - Document what you build and communicate changes clearly to the teams that depend on them. Qualifications - 2+ years building automations, internal tools, or production software. GTM engineering, RevOps, growth ops, and software engineering backgrounds all work; what matters is that you have shipped. - Builds with code (required): You build and ship working software (Python, TypeScript, or similar). AI coding tools like Claude Code and Codex count fully; we care that you ship and understand what you shipped, not whether every line was written by hand. You are fluent with APIs and webhooks, use version control by default, and can show us things you have built, at work or on your own. Deeper technical fluency is a plus, not the bar. - AI-native: You use LLMs and AI coding tools regularly to ship real business workflows. You understand prompting, evaluation, tool use, and failure modes, and you can explain when AI is and is not the right solution. - Automation & GTM stack fluency: Experience with automation platforms (Workato, Zapier, n8n, or similar) and familiarity with the modern GTM stack (Salesforce, Clay, Snowflake, dbt, Gong). - Commercial instinct: You understand how a revenue organization works, you prioritize by business impact, and you are comfortable working directly with sellers and GTM leaders. - Craft: You build things that do not break. Fallback logic, monitoring, and documentation are defaults, not afterthoughts. - Builder mindset: Curious and experimental, biased toward working prototypes over decks, with strong async writing. Benefits - We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs. - Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle. - Mental Health benefits with covered therapy and coaching. - 401(k) program to help you invest in your future. - Education & learning stipend for personal growth and development. - Flexible vacation time to promote a healthy work-life blend. - Paid parental leave to support you and your family. - Company-wide recharge days each quarter. - Work from home stipend to help you succeed in a remote environment.

• Own features across Raise end to end, from forms and campaign pages to A/B testing, analytics/reporting, and data-driven donor upgrades, with the same weight given to visual polish as to functionality • Help build the next wave of agentic experiences inside Raise, including agentic form and page building for nonprofit customers (leveraging their brand, voice, and data) and extending that agentic approach into email and other donor-facing touchpoints • Design, build, and ship net-new, revenue-driving features across the full stack • Own the performance, scalability, and reliability of the systems you build, instrumenting and monitoring them as first-class parts of the work • Review AI-generated code with real architectural judgment, catching issues before they ship rather than rubber-stamping AI output • Collaborate closely with Product and Design to translate donor and nonprofit customer needs into technical solutions • Participate in code reviews and architectural discussions, contributing thoughtfully without becoming a bottleneck (we're looking for strong opinions, held loosely, not someone who slows the team down nitpicking style) • Write clean, testable, efficient code across the frontend and backend • Research and resolve customer bugs and issues preventing a world-class product experience • Support a culture of experimentation, iteration, and continuous delivery

• Develop and Maintain Core Services – Implement and enhance high-quality, scalable microservices that support platform-wide capabilities, ensuring modularity and extensibility. • Collaborate on System Design & Implementation – Work with senior engineers and product managers to translate requirements into well-structured, maintainable, and testable software solutions. • Enhance System Reliability & Observability – Contribute to logging, monitoring, and alerting solutions using Datadog to ensure visibility and proactive issue resolution. • Infrastructure as Code & Cloud Automation – Assist in automating cloud infrastructure management using Terraform, Terragrunt, and CI/CD pipelines. • Improve Engineering Efficiency – Participate in code reviews, advocate for engineering best practices, and contribute to documentation to ensure team-wide knowledge sharing. • Support Operational Excellence – Help troubleshoot and resolve production issues, participate in incident response, and propose solutions for long-term stability and scalability. • Cross-Team Collaboration – Work with product managers, designers, and engineers from other teams to deliver features and platform enhancements that meet business and customer needs.

Role Description We're excited to welcome a talented and passionate Senior Software Engineer to join our highly skilled team. The ideal candidate will hold a deep comprehension of search and recommendations algorithms and infrastructure, including: - Retrieval augmented generation (RAG) - Semantic search using embeddings - Text indexing and retrieval - Query understanding - Various ranking algorithms In your crucial role, you'll be responsible for managing every aspect of our sophisticated enterprise search system, spearheading the design, development, and optimization of search system accuracy and performance. Qualifications - Holds a Masters degree in Computer Science, or a relevant field; PhD a plus. - 5+ years of experience in search, recommendation, or question answering systems. - In-depth knowledge of relevance measurement, tuning, and modeling. - Engineering experience with large language models and RAG systems. - Expertise in Python and/or C++. - Exceptional problem-solving capabilities coupled with meticulous attention to detail. - Outstanding communication skills to explain complex concepts convincingly to non-technical team members. - Abilities to contribute individually while functioning effectively as part of a team. - Familiarity with embedding-based search systems will be considered a major advantage. Requirements - Design, develop, and oversee our enterprise search infrastructure, employing a mix of vector databases, full-text search engine, and relational database techniques. - Understand the user's information needs by developing deep learning-based NLP algorithms to analyze, reformulate, and suggest search queries effectively. - Design, implement, and deploy various ranking algorithms to deliver the most relevant results with the best user experience. - Evaluate and optimize algorithm accuracy by focusing on key metrics. - Constantly track and analyze end-to-end system performance, leading improvement initiatives as required. - Stay informed about the latest industry developments and emerging technologies, aligning our search system with, or advancing it beyond, the industry benchmarks. Benefits - Salary Range: $185,000 to $230,000 USD per year. - This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. - Our base salary is just one component of our comprehensive total rewards package. Company Description We are in the business of shaping the future of work. Our mission is to make conversations more valuable. - With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. - Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. - The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. - Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace.