Jobs at Port.io

Own post-sale customer relationships, renewals, adoption, retention, and expansion across enterprise or mid-market SaaS accounts. Build executive relationships, develop account and expansion strategies, forecast revenue, negotiate commercial agreements, identify churn risks, drive product adoption, and coordinate cross-functional teams. Translate customer platform engineering challenges into strategic solutions while providing customer insights to Product, Sales, and leadership.

Own cloud-spend visibility and accountability across R&D. Monitor AWS and infrastructure costs, investigate anomalies with engineering and DevOps, translate cost drivers into business impact, route issues to owners, track remediation, and report trends, savings, risks, and forecasts to leadership. Establish tagging, budgeting, and cost-allocation practices while managing relationships with cloud vendors and supporting cost reviews and negotiations.

Lead and develop the EMEA Sales Engineering team, coaching SEs, managing technical deal strategy, overseeing hiring and enablement, and establishing scalable pre-sales practices. Support strategic demos, POCs, escalations, and competitive evaluations while partnering with Sales, Product, Engineering, and GTM Automation. Translate customer and deal insights into product feedback and champion AI-driven workflow improvements.

Lead and grow Port’s EMEA Sales Engineering team, managing coaching, hiring, deal reviews, technical evaluations, POCs, demos, and strategic customer engagements. Establish scalable SE processes, qualification standards, enablement, and tooling while partnering with Sales, Product, Engineering, and GTM Automation. Serve as a technical escalation point for complex enterprise deals and translate field insights into product roadmap feedback. The role is based in London with three office days per week and travel across EMEA.

Own production reliability for Port’s platform by defining SLIs, SLOs, and error budgets; evolving observability, alerting, and incident response; leading postmortems; improving on-call practices; reviewing production readiness; driving capacity planning and performance work; and operating AI-assisted incident-response systems. The role partners across platform, R&D, and FinOps teams and requires strong cloud-native, Kubernetes, AWS, coding, communication, and mentoring skills.

Lead full-cycle recruiting for GTM and business functions (Sales, Marketing, Customer Success, Partnerships). Partner with hiring leaders to define role requirements, proactively source and build pipelines, manage structured interview processes and candidate experience, and champion employer brand. Provide market intelligence and collaborate with a global recruiting team to close hires.

Drive full-cycle recruiting for GTM and business functions across the US and UK. Build proactive sourcing strategies, partner with global hiring leaders, define candidate profiles, manage structured interview processes, deliver strong candidate experiences, provide talent-market intelligence, and represent Port’s employer brand throughout recruiting interactions.

Own sales data integrity across CRM and data warehouses, monitor pipeline and forecast accuracy, analyze revenue and funnel performance, build forecasting and performance models, and present strategic insights to senior leadership. Collaborate with Finance and Revenue Operations on planning cycles, QBRs, and strategic initiatives using spreadsheets, SQL, BI tools, and cloud data warehouses.

Lead Port’s product marketing strategy, positioning, messaging, launches, analyst and PR initiatives, demos, market education, and sales enablement. Partner cross-functionally with Product, Sales, Engineering, SEs, and CSMs to translate technical value for platform engineers, DevOps teams, and business buyers. Build and manage a growing team of product marketers and content creators while supporting global expansion and category development.

Own Port.io’s SEO, GEO, and AEO strategy to grow qualified organic traffic and pipeline. Responsibilities include keyword research, on-page optimization, technical audits, schema and site architecture improvements, Core Web Vitals optimization, AI citation strategy, competitive analysis, performance reporting, and cross-functional collaboration with Product, Content, and Engineering teams.

Own paid search and paid social acquisition strategy across Google, LinkedIn, Twitter/X, Reddit, and other channels. Build and optimize campaigns, manage budgets, achieve ROAS and CPA targets, conduct A/B testing, use AI and automation, analyze funnel performance, build KPI dashboards, and develop strategies for technical B2B SaaS audiences.

Grow and manage Port’s North American partner ecosystem by developing channel relationships, enabling partners to sell the platform, generating partner-sourced pipeline, and supporting joint sales opportunities. The role collaborates with regional sales, marketing, and alliances teams to align partner activity with go-to-market strategy, improve partner productivity, and expand the company’s strategic partner network.

Manage and expand Port’s North American partner ecosystem by developing channel relationships, enabling VARs, distributors, MSPs, and system integrators, and supporting partner-led pipeline and revenue opportunities. Collaborate with sales, marketing, and alliances teams on joint sales motions, partner training, deal coordination, and go-to-market execution. Drive partner activation, productivity, repeat engagement, and growth in a fast-paced B2B software startup.

Owns Port’s analytics function by defining and validating company KPIs, modeling trusted metrics, setting BI standards, and building executive dashboards. Partners with Sales, Product, Marketing, data engineering, and business analytics teams to design scalable data models, semantic layers, pipelines, experimentation frameworks, and reporting infrastructure. The role combines hands-on technical leadership, stakeholder management, analytics product ownership, and process development in a B2B SaaS environment.

Lead and develop a team of Technical Customer Success Managers serving enterprise and mid-market engineering organizations. Build scalable onboarding, adoption, renewal, expansion, escalation, and business review programs; define portfolio health metrics; manage at-risk accounts; engage engineering executives; and collaborate with Sales, Solutions Architecture, Product, Engineering, and Marketing. The role requires strong technical credibility in DevOps, platform engineering, cloud-native technologies, and enterprise SaaS customer success.

Lead and grow a technical customer success team serving enterprise and mid-market engineering organizations. Manage performance, hiring, coaching, playbooks, portfolio metrics, customer escalations, renewals, expansions, and executive engagement. Partner cross-functionally with Sales, Solutions Architecture, Product, Engineering, and Marketing to improve customer outcomes and scale operations. The role requires technical credibility in DevOps, platform engineering, Kubernetes, CI/CD, Infrastructure as Code, and cloud environments.

Own post-sale customer success, renewals, expansion, and retention for strategic B2B SaaS accounts. Build executive relationships, drive platform adoption, identify churn risks, manage renewal and expansion pipelines, negotiate commercial agreements, and coordinate cross-functional teams. Translate customer platform engineering challenges into strategic solutions while providing customer insights to Product, Sales, and leadership.

Own post-sale customer success, renewals, retention, adoption, and expansion for strategic B2B SaaS accounts. Build executive relationships, manage multi-threaded stakeholder engagement, diagnose platform engineering challenges, drive product adoption, develop expansion pipelines, forecast revenue, and prevent churn. Coordinate cross-functional teams to deliver customer outcomes while providing customer intelligence to Product and Sales leadership.

The Senior Full Stack Engineer will develop solutions for internal developer portals, handling both frontend and backend tasks, and is experienced in complex system design.

Own an AI platform pillar end-to-end: research customers and data, define roadmap and metrics, design UX across UI/API/CLI/chat, collaborate cross-functionally, enable agent and developer workflows, and iterate on adoption and impact.