• Build and maintain automated workflows across our GTM stack. • Own the integration layer between Salesforce, Outreach, Gong, ChiliPiper, DealHub, and other tools in the stack • Build and maintain API connections, webhooks, and data syncs that keep our systems in agreement • Identify and automate manual processes across the sales and marketing motion • Handle day-to-day Salesforce administration including object configuration, flows, workflow rules, and permission sets • Support data hygiene initiatives including deduplication, enrichment, and validation rules • Assist in implementing data model changes as the business evolves • Implement LLM-assisted automations including call summaries, enrichment pipelines, and follow-up draft generation • Maintain and iterate on prompt-based workflows under the direction of the Director • Evaluate and integrate AI tools into existing workflows as the stack grows • Own the accuracy of data flowing between systems including audit processes and alerting for data breaks • Build and maintain enrichment pipelines that keep account and contact data current • Support attribution reporting and pipeline analytics

• Partner closely with product teams to understand requirements and design cutting-edge new capabilities that go directly into customer’s hands. • Design, develop, implement, and operate highly reliable large-scale data lake systems in cooperation with a dedicated data lake engineering team. • Contribute to open-source projects such as DuckDB and Polaris. • Embrace Fivetran innovations with open-source standards and toolsets. • Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them. • Ensure operational excellence of the services and meet the commitments to our customers regarding security, reliability, availability, and performance. • Set technical directions and influence cross-functional teams.

• Work closely with product managers and engineers to build a market-leading product. • Build the technical foundation that enables our platform to scale as our customer base, product capabilities, integrations, and AI-powered features continue to grow. • Design and implement scalable APIs, services, and data models that power our customer-facing applications • Own the reliability, performance, and observability of backend systems in production • Design, build, and operate scalable backend services using Python, FastAPI, PostgreSQL, SQLAlchemy, Temporal workflows, Redis, AWS (RDS, S3, SQS, DynamoDB), and Terraform, with a strong focus on reliability, observability, and developer experience. • Build and maintain performant, accessible frontend applications using React and TypeScript, collaborating closely with product to deliver high-quality user experiences. • Leverage AI-native development practices to accelerate engineering velocity, including AI coding assistants (such as Claude Code), reusable Skills, autonomous agents, and workflow automation. You'll be expected to both use these tools effectively and help evolve how our engineering organization develops software with AI. • Integrate with third-party services and APIs to deliver comprehensive solutions • Champion developer experience by improving tooling, CI/CD, testing, local development workflows, and engineering processes that increase team productivity. • Participate in technical architecture discussions and help drive technical decisions within your team and across engineering • Mentor and pair with other developers to instill a growth mindset and raise the technical bar • Lead by example with a focus on craftsmanship, reliability, and quality

• Develop, test, and deploy code for prototypes and new product features. • Collaborate with team members to solve technical challenges and improve solution design. • Participate in code reviews, documentation, and team knowledge sharing. • Experiment with modern tools, frameworks, and emerging technologies. • Adapt to evolving requirements and provide input on process improvements.