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Growth Lead — Roku Data Cloud
About the position
The Growth Lead is the technical owner of the full RDC customer lifecycle — combining pre-sales solution engineering with post-sales value engineering. You’ll run a disciplined motion that moves every engagement through Technical Discovery → Solution Design → Pilot → Production, then stay engaged after deployment to turn signed contracts into compounding adoption, usage, and renewal. Pre-sale, you architect the solution. Post-sale, you architect the customer’s path to value — instrumenting adoption signals, running human-in-the-loop orchestration plays across cohorts, and co-authoring case studies that prove RDC’s impact.
Responsibilities
- Partner with Account Executives and Partnerships leads to run Technical Discovery across agencies, publishers, measurement companies, and ad tech platforms.
- Architect privacy-safe RDC solutions — clean room, Collaboration APIs, ACR, RIS, Search Keywords, Conversions API, Ad Log Delivery, planning APIs, and DSP integrations.
- Translate requirements into phased Solution Designs with prioritized use cases, KPIs, governance, and sign-offs; own the design through pilot and production.
- Deliver tailored demos, whiteboarding sessions, and workshops for stakeholders from analysts to CPOs; represent RDC at CES, upfronts, agency product days, and publisher business reviews.
- Scope and execute time-boxed POCs with clear exit criteria (match rate, time-to-activation, deduped reach, stat-sig lift), with hands-on guidance through identity resolution, clean room policy, and activation.
- Own the technical handoff to deployment and the ongoing day-to-day relationship with each customer.
- Standardize implementation kits for the core golden paths (clean room setup, ad log delivery, chatbot enablement, PMP/programmatic activation) and operationalize Snowflake data shares, S3 delivery patterns, schema governance, and SLAs to drive a low-touch experience and reduce time-to-first-activation to ≤30 days.
- Design and run the RDC growth engine: instrument usage telemetry in Snowflake, define adoption/friction/success-event rules, and operate a human-in-the-loop orchestration layer that routes partner-specific outreach through approval workflows.
- Build cohort-specific playbooks and Partner Programs for agency holding companies (Publicis, OMG, IPG, GroupM, Dentsu), retail media networks, M&E publishers, and advertisers/platforms — with unlock tiers tied to commitments and continuity terms.
- Co-author at least three cross-partner case studies per year; drive safe, permissioned AI adoption with RDC chatbot success patterns (time-to-first-insight, queries per account, insight-to-activation conversion).
- Own NRR and value-realization metrics; run monthly/quarterly business reviews tied to the original Solution Design; act as escalation point for clean room, ad log, identity, and activation issues.
- Provide structured field feedback to Product to prioritize roadmap and reduce repeat escalations.
- Partner with Sales, Partnerships, Customer Success, Legal/Privacy, Finance, and Support on repeatable new-deal and value-realization motions.
- Align with Product and Engineering on reference architectures, golden paths, and the template registry; co-design and co-sell with system integrators and measurement/identity partners.
Requirements
- 7+ years in a customer-facing technical role (Sales Engineer, Solutions Architect, Customer/Deployment Engineer, or Data/Analytics Consultant) with direct experience leading both pre-sales and post-sales motions.
- Proven track record designing and deploying data collaboration, identity, measurement, or programmatic solutions in AdTech, MarTech, or CTV/streaming.
- Strong SQL and data modeling; fluency with data warehousing, ETL/ELT, and analytics tooling.
- Working knowledge of cloud security, privacy, and governance frameworks (VPPA, CPRA, GDPR, DPIA, data minimization, audit logging).
- Experience with AWS, Azure, or GCP and data delivery patterns (S3, Snowflake shares, APIs).
- Excellent communication skills, with the ability to engage analysts, engineers, media planners, and C-level executives in the same week.
- Demonstrated ability to run a structured, opportunity-management sales process — not just run demos.
Nice-to-haves
- Hands-on experience with Snowflake (data shares, Collaboration APIs, Native App Framework, Snowpark, Cortex AI) and clean rooms (identity keys, aggregation-only outputs, match-rate QA, incrementality design).
- Experience operationalizing growth marketing or lifecycle motions for B2B data or SaaS products (telemetry-driven outreach, HITL approval workflows, cohort playbooks, case-study production).
- Familiarity with DSPs (Amazon DSP/AMC, Yahoo DSP), CDPs (Adobe, Hightouch), and measurement partners (iSpot, Innovid, VideoAmp, Nielsen, Comscore).
- Programming experience in Python for data pipelines and lightweight orchestration.
- Background in media/entertainment, retail/CPG, or travel; prior work with agency holding companies, retail media networks, or major streamers is a plus.
Benefits
- health insurance
- equity awards
- life insurance
- disability benefits
- parental leave
- wellness benefits
- paid time off
- global access to mental health and financial wellness support and resources
- healthcare (medical, dental, and vision)
- accident
- commuter
- retirement options (401(k)/pension)