Jobs at Decagon

Own quarterly and annual planning, financial modeling, unit economics, KPI frameworks, dashboards, cash-flow monitoring, board materials, and fundraising support. Partner with executives to guide strategy, resource allocation, and growth initiatives while building a scalable finance function for a fast-growing technology company.

Build and scale GTM enablement programs, including onboarding, ongoing development, role-specific training, certifications, and field-readiness initiatives. Partner closely with sellers, sales leaders, Marketing, Product, and Engineering to translate business strategy into practical tools, content, and execution. Improve seller productivity and performance while adapting programs to support rapid growth and leveraging AI-enabled approaches.

Own strategy, operating cadence, and infrastructure for customer deployment and post-sales execution. Build scalable processes, reporting, forecasting, resourcing, playbooks, and escalation systems. Partner with GTM, Product, Engineering, and Customer Success to improve deal readiness, launch predictability, delivery quality, and customer outcomes. Lead and develop a Strategy & Operations team while driving company-critical initiatives in a fast-moving, in-office environment.

Own Decagon’s website roadmap and day-to-day execution, including page launches, site changes, workflows, and international localization. Lead SEO and AEO strategy across traditional and AI-driven search, execute programmatic content initiatives, analyze performance using marketing tools, and manage contractors and internal stakeholders. The role also supports scalable website operations, privacy updates, and pipeline-focused measurement.

Source and engage technical talent for Engineering and other technical roles. Develop creative sourcing strategies, research talent markets, personalize candidate outreach, and build relationships. Partner with recruiters and engineering leaders to calibrate searches, improve recruiting processes, and deliver exceptional candidate experiences. Experiment with AI and new tools while taking on increasing ownership across the recruiting process.

Own end-to-end growth and business operations projects, from identifying problems and prototyping solutions through production rollout and effectiveness reviews. Partner with sales, revenue operations, marketing, and engineering to improve pipeline and deal flow. Responsibilities include building internal tooling and workflows, evaluating vendors, setting roadmaps, establishing operating cadences, and creating quantitative views of pipeline movement and solution impact.

Designs enterprise voice and contact center deployments for Decagon’s conversational AI platform. Partners with sales, product, engineering, and customers to architect SIP integrations, call routing, media handling, transcription, transfers, and secure deployment strategies across platforms such as Genesys, Amazon Connect, Cisco, and Google CCAI. Diagnoses production SIP and media issues, develops deployment playbooks and reference architectures, and establishes pre-sales best practices for a growing voice solutions function.

Engineering interns contribute to production-ready initiatives across agent engineering, orchestration, enterprise products, and infrastructure. Responsibilities may include building AI agent platforms, runtime and model orchestration systems, scalable customer-facing products, networking, data infrastructure, ML serving, developer platforms, and real-time voice systems. Interns collaborate with engineering teams and customers while gaining hands-on experience delivering high-impact software during a 12-week San Francisco internship.

Build data infrastructure and reliable datasets using Python and SQL across multiple databases. Partner with engineering to instrument product surfaces, improve event and usage data, and translate ambiguous business needs into measurable problems across growth, GTM, pricing, finance, deals, and product. Scale data infrastructure, parse engineering and AI logs, optimize database performance, and deliver insights for company leadership.

Own technical accounting under U.S. GAAP for complex transactions, including revenue recognition, business combinations, stock-based compensation, equity, and M&A. Draft audit-ready memos, review customer contracts, develop accounting policies and controls, guide auditors and consultants, support IPO readiness, and communicate new accounting standards to leadership. Partner with Legal, Sales, Revenue Operations, Finance, and Founders Office on deal structures, pricing, and accounting conclusions.

Leads and scales Decagon’s pre-sales Solutions Engineering function by hiring and developing the team, establishing technical validation and proof-of-concept processes, partnering with Sales, Product, and Engineering, and guiding enterprise customers through solution design, demonstrations, integrations, and ROI validation. Serves as an executive-level technical representative while shaping go-to-market strategies, customer insights, and scalable team processes for enterprise AI adoption.

Lead and grow a research engineering team developing conversational AI agents. Own the technical roadmap across model post-training, evaluation, safety, speech, and agent behavior; convert research ideas into measurable production programs; review architecture and experiments; ensure rigorous, reproducible engineering; and partner with infrastructure, platform, product, and customer teams to deploy reliable AI systems.

Own and scale Decagon’s paid social programs internationally, initially across EMEA. Manage LinkedIn, Meta, Reddit, X, and emerging channels; allocate six-figure monthly budgets; optimize campaigns; connect spend to pipeline and revenue; and develop attribution, testing, and repeatable playbooks. Partner with regional sales and demand generation teams on ABM, landing pages, and email while adapting programs to local markets, currencies, buying behavior, and GDPR requirements.

Build and maintain production internal tools, web applications, integrations, AI agents, MCP servers, and automation systems across Finance, Accounting, Legal, People, Recruiting, and Sales. Own projects end to end, automate billing and revenue processes, integrate internal systems with ERP and Salesforce, enable business users to create automations, and measure business impact.

Own and scale Decagon’s business systems ecosystem, including ERP, finance, HR, spend, and travel platforms. Manage architecture, configuration, integrations, access governance, data integrity, optimization, and administration. Design financial and operational workflows, automate manual processes using AI, lead system rollouts and upgrades, conduct user acceptance testing, train teams, and translate cross-functional business requirements into scalable solutions. Partner with Finance, Accounting, People, Legal, and Engineering while independently delivering complex initiatives in an ambiguous, fast-paced environment.

Own Decagon’s website as a product, including strategy, prioritization, roadmap, technical foundations, and international expansion. Build AI-powered growth tools, interactive demos, personalized experiences, marketing automation, and sales-intent agents. Establish conversion-rate testing infrastructure, partner cross-functionally with growth, engineering, and sales teams, and eventually hire and mentor specialists in website operations, SEO, and AEO.

Lead end-to-end product design for enterprise conversational AI experiences, including AI agent authoring, control, trust, chat, and voice interfaces. Frame ambiguous problems, conduct customer discovery, create polished concepts and prototypes, partner closely with product and engineering, and guide initiatives through launch and adoption. Contribute to design systems, team culture, hiring, and design practices while using Figma and AI coding tools to rapidly prototype on the codebase.

Develop and close strategic enterprise accounts, build trusted C-suite relationships, identify expansion opportunities, execute account plans, forecast revenue, and collaborate with founders, engineering, and deployment teams on tailored solutions. The role requires consultative selling, strong business acumen, stakeholder management, product expertise, and moderate travel in an in-office environment.

Designs, builds, and operates high-throughput streaming and batch data infrastructure for AI products. Responsibilities include developing Kafka, Flink, and Airflow pipelines; managing analytical data layers; optimizing query and pipeline performance; implementing Terraform and GitOps practices; improving observability, reliability, and cost efficiency; partnering with product and research teams; and participating in on-call operations and automation initiatives.

The Solutions Engineer will engage with enterprise customers, architecting AI solutions, creating demonstrations, and providing technical advice to enhance customer experiences and return on investment.