PubNub

• Build problem-led solution narratives for priority verticals. • Focus initially on one to two strategic industries. • Develop and own the "Real-Time Infrastructure for AI" positioning and messaging. • Create sales and event enablement materials, including decks, one-pagers, talk tracks, and competitive messaging. • Partner with Developer Relations (DevRel) and Product to ensure messaging is grounded in verifiable proof. • Equip account-based and field marketing campaigns with tailored messaging for target accounts. • Test buyer-language naming and iterate based on what resonates and converts. • Partner with Product and Legal to keep messaging accurate and on-claim.

• Build problem-led solution narratives for priority verticals. • Focus initially on one to two strategic industries. • Develop and own the "Real-Time Infrastructure for AI" positioning and messaging. • Create sales and event enablement materials, including decks, one-pagers, talk tracks, and competitive messaging. • Partner with Developer Relations (DevRel) and Product to ensure messaging is grounded in verifiable proof. • Equip account-based and field marketing campaigns with tailored messaging for target accounts. • Test buyer-language naming and iterate based on what resonates and converts. • Partner with Product and Legal to keep messaging accurate and on-claim.

• Own the marketing programs that help customers adopt more of our platform. • Lead lifecycle marketing initiatives focused on customer health, retention, expansion, and re-engagement. • Work closely with Customer Success, Account Managers, and our Go-to-Market Engineering (GTME) team. • Improve Net Revenue Retention (NRR) and reduce preventable churn. • Create a steady pipeline of expansion opportunities across our existing customer base.

• Build customer lifecycle and nurture programs distinct from prospect marketing. • Design platform expansion campaigns based on onboarding use cases and unused features. • Partner with Go-to-Market Engineering (GTME) on customer health scoring and expansion signal detection. • Create ROI reports and value summaries as easy, one-click artifacts Account Managers can use in-deal. • Run multi-team penetration plays within existing enterprise accounts. • Build win-back and re-engagement campaigns for quiet or at-risk customers. • Analyze why customers leave and turn insights into retention plays. • Partner closely with Customer Success and Account Managers on retention initiatives.

• Build core distributed systems in Rust. • Design scalable and fault-tolerant platform services. • Develop messaging, storage, and eventing infrastructure. • Improve system reliability and operational resilience. • Own services from development through production operations. • Create metrics, dashboards, alerts, and runbooks. • Support incident response and capacity planning. • Optimize latency, throughput, and system performance. • Work across cloud infrastructure and data systems. • Use AI tools thoughtfully to improve engineering workflows.

• Draft, review, and negotiate a variety of technology and commercial agreements, including SaaS agreements, vendor agreements, reseller and partnership agreements, NDAs, and other commercial contracts • Partner closely with internal stakeholders across Sales, Product, Compliance, IT, Finance, Marketing, and executive leadership • Support legal aspects of product and service evolution, launches, and go-to-market initiatives • Contribute to the development and improvement of legal processes, templates, and operational workflows • Assist with privacy and regulatory compliance matters, including GDPR, CCPA, HIPAA, and related frameworks • Support ongoing compliance initiatives related to ISO 27001 and SOC 2 Type II certifications • Help identify legal and operational risks while providing practical, business-focused guidance • Stay informed on evolving legal developments impacting SaaS, technology, AI, privacy, and international business operations

• Ship AI-powered features into production • Integrate LLM inference, build evaluation and observability tooling • Own the full lifecycle of AI services • Design low-latency inference pipelines for high-throughput message streams • Implement model routing, prompt and retrieval patterns (RAG), caching, batching, and fallbacks • Build internal frameworks, APIs/SDKs, and tooling