Senior MarTech Platform Strategist
Instacart
Senior MarTech Platform Strategist
Job Description
Responsibilities
- Own and evolve the product strategy for Paid MarTech tooling — across systems like signal maturity, audience delivery, tagging architecture, and event ingestion.
- Partner with engineering to define technical implementation plans and optimize for long-term scale, reuse, and velocity.
- Make build vs. buy decisions based on impact, effort, integration complexity, and ROI — guiding vendor evaluations and onboarding processes.
- Actively identify gaps in campaign workflow, system reliability, and measurement coverage — then drive clarity around what should be fixed, when, and why.
- Collaborate with marketing leaders to deeply understand their objectives, workflows, and blockers — ensuring the infrastructure roadmap reflects real campaign needs.
- Work cross-functionally with product and engineering leads across Ads, CRM, Lifecycle, and Data to align on dependencies, roadmap sequencing, and shared platform evolution.
- Champion roadmap discipline — prioritizing ruthlessly, communicating clearly, and aligning stakeholders on tradeoffs and outcomes.
Required Qualifications
- 7–12+ years of experience in product, growth infrastructure, MarTech, or marketing systems strategy roles.
- Deep domain fluency in paid marketing operations — including attribution frameworks, campaign optimization, and how signal quality impacts platform performance.
- Experience leading large cross-functional efforts with stakeholders across Engineering, Data Science, Product, and Marketing.
- Strong intuition for how to balance user needs, technical feasibility, and organizational readiness in complex system planning.
- A systems-first mindset, with an appreciation for modularity, observability, and scaling infrastructure for the next 10x growth phase.
- Comfort working in ambiguous or early-stage environments — bringing structure where needed, guiding teams through uncertainty, and helping establish scalable foundations from scratch.
- Technical fluency with a relevant subset of modern Paid MarTech systems and tools — for example: Event and tracking infrastructure: Meta CAPI, TikTok Events API, MMPs (e.g. Branch), Firebase, GA4; Data and orchestration systems: Airflow DAGs, DBT modeling, event validation tools, schema QA frameworks; Audience management and CDP platforms: LiveRamp, Segment, mParticle, Adobe Experience Platform; Feed management tooling: Productsup, Feedonomics, VersaFeed, Google Merchant Center
Preferred Qualifications
- Experience shaping marketing infrastructure at scaled consumer tech or eCommerce companies.
- Working knowledge of attribution methods (MMM, MTA, Etc).
- Background in data governance and privacy-first marketing (ie GDPR, CCPA, ATT).
- Ability to influence technical architecture without writing production code.
- Experience with experimentation frameworks (holdouts, geo-experiments).
- Strong communication and storytelling skills for executive audiences.
- Curiosity about emerging ad platforms, measurement standards, and AI-driven campaign orchestration.
Required Skills
- Paid marketing operations
- Attribution frameworks
- Campaign optimization
- Cross-functional leadership
- Systems thinking
- Modularity
- Observability
- Technical fluency
- Meta CAPI
- TikTok Events API
- MMPs (Branch)
- Firebase
- GA4
- Airflow DAGs
- DBT modeling
- LiveRamp
- Segment
- mParticle
- Adobe Experience Platform
- Productsup
- Feedonomics
- VersaFeed
- Google Merchant Center
Benefits
- Flex First remote work policy
- Highly market-competitive compensation
- New hire equity grant as well as annual refresh grants
Salary Range
$149000 - $200000 USD
Locations
- United States, United States (Remote)
Salary
149,000 - 200,000 USD / yearly
Skills Required
- Paid marketing operationsintermediate
- Attribution frameworksintermediate
- Campaign optimizationintermediate
- Cross-functional leadershipintermediate
- Systems thinkingintermediate
- Modularityintermediate
- Observabilityintermediate
- Technical fluencyintermediate
- Meta CAPIintermediate
- TikTok Events APIintermediate
- MMPs (Branch)intermediate
- Firebaseintermediate
- GA4intermediate
- Airflow DAGsintermediate
- DBT modelingintermediate
- LiveRampintermediate
- Segmentintermediate
- mParticleintermediate
- Adobe Experience Platformintermediate
- Productsupintermediate
- Feedonomicsintermediate
- VersaFeedintermediate
- Google Merchant Centerintermediate
Required Qualifications
- 7–12+ years of experience in product, growth infrastructure, MarTech, or marketing systems strategy roles. (experience)
- Deep domain fluency in paid marketing operations — including attribution frameworks, campaign optimization, and how signal quality impacts platform performance. (experience)
- Experience leading large cross-functional efforts with stakeholders across Engineering, Data Science, Product, and Marketing. (experience)
- Strong intuition for how to balance user needs, technical feasibility, and organizational readiness in complex system planning. (experience)
- A systems-first mindset, with an appreciation for modularity, observability, and scaling infrastructure for the next 10x growth phase. (experience)
- Comfort working in ambiguous or early-stage environments — bringing structure where needed, guiding teams through uncertainty, and helping establish scalable foundations from scratch. (experience)
- Technical fluency with a relevant subset of modern Paid MarTech systems and tools — for example: Event and tracking infrastructure: Meta CAPI, TikTok Events API, MMPs (e.g. Branch), Firebase, GA4; Data and orchestration systems: Airflow DAGs, DBT modeling, event validation tools, schema QA frameworks; Audience management and CDP platforms: LiveRamp, Segment, mParticle, Adobe Experience Platform; Feed management tooling: Productsup, Feedonomics, VersaFeed, Google Merchant Center (experience)
Preferred Qualifications
- Experience shaping marketing infrastructure at scaled consumer tech or eCommerce companies. (experience)
- Working knowledge of attribution methods (MMM, MTA, Etc). (experience)
- Background in data governance and privacy-first marketing (ie GDPR, CCPA, ATT). (experience)
- Ability to influence technical architecture without writing production code. (experience)
- Experience with experimentation frameworks (holdouts, geo-experiments). (experience)
- Strong communication and storytelling skills for executive audiences. (experience)
- Curiosity about emerging ad platforms, measurement standards, and AI-driven campaign orchestration. (experience)
Responsibilities
- Own and evolve the product strategy for Paid MarTech tooling — across systems like signal maturity, audience delivery, tagging architecture, and event ingestion.
- Partner with engineering to define technical implementation plans and optimize for long-term scale, reuse, and velocity.
- Make build vs. buy decisions based on impact, effort, integration complexity, and ROI — guiding vendor evaluations and onboarding processes.
- Actively identify gaps in campaign workflow, system reliability, and measurement coverage — then drive clarity around what should be fixed, when, and why.
- Collaborate with marketing leaders to deeply understand their objectives, workflows, and blockers — ensuring the infrastructure roadmap reflects real campaign needs.
- Work cross-functionally with product and engineering leads across Ads, CRM, Lifecycle, and Data to align on dependencies, roadmap sequencing, and shared platform evolution.
- Champion roadmap discipline — prioritizing ruthlessly, communicating clearly, and aligning stakeholders on tradeoffs and outcomes.
Benefits
- general: Flex First remote work policy
- general: Highly market-competitive compensation
- general: New hire equity grant as well as annual refresh grants
Tags & Categories
Senior MarTech Platform Strategist
Instacart
Senior MarTech Platform Strategist
Job Description
Responsibilities
- Own and evolve the product strategy for Paid MarTech tooling — across systems like signal maturity, audience delivery, tagging architecture, and event ingestion.
- Partner with engineering to define technical implementation plans and optimize for long-term scale, reuse, and velocity.
- Make build vs. buy decisions based on impact, effort, integration complexity, and ROI — guiding vendor evaluations and onboarding processes.
- Actively identify gaps in campaign workflow, system reliability, and measurement coverage — then drive clarity around what should be fixed, when, and why.
- Collaborate with marketing leaders to deeply understand their objectives, workflows, and blockers — ensuring the infrastructure roadmap reflects real campaign needs.
- Work cross-functionally with product and engineering leads across Ads, CRM, Lifecycle, and Data to align on dependencies, roadmap sequencing, and shared platform evolution.
- Champion roadmap discipline — prioritizing ruthlessly, communicating clearly, and aligning stakeholders on tradeoffs and outcomes.
Required Qualifications
- 7–12+ years of experience in product, growth infrastructure, MarTech, or marketing systems strategy roles.
- Deep domain fluency in paid marketing operations — including attribution frameworks, campaign optimization, and how signal quality impacts platform performance.
- Experience leading large cross-functional efforts with stakeholders across Engineering, Data Science, Product, and Marketing.
- Strong intuition for how to balance user needs, technical feasibility, and organizational readiness in complex system planning.
- A systems-first mindset, with an appreciation for modularity, observability, and scaling infrastructure for the next 10x growth phase.
- Comfort working in ambiguous or early-stage environments — bringing structure where needed, guiding teams through uncertainty, and helping establish scalable foundations from scratch.
- Technical fluency with a relevant subset of modern Paid MarTech systems and tools — for example: Event and tracking infrastructure: Meta CAPI, TikTok Events API, MMPs (e.g. Branch), Firebase, GA4; Data and orchestration systems: Airflow DAGs, DBT modeling, event validation tools, schema QA frameworks; Audience management and CDP platforms: LiveRamp, Segment, mParticle, Adobe Experience Platform; Feed management tooling: Productsup, Feedonomics, VersaFeed, Google Merchant Center
Preferred Qualifications
- Experience shaping marketing infrastructure at scaled consumer tech or eCommerce companies.
- Working knowledge of attribution methods (MMM, MTA, Etc).
- Background in data governance and privacy-first marketing (ie GDPR, CCPA, ATT).
- Ability to influence technical architecture without writing production code.
- Experience with experimentation frameworks (holdouts, geo-experiments).
- Strong communication and storytelling skills for executive audiences.
- Curiosity about emerging ad platforms, measurement standards, and AI-driven campaign orchestration.
Required Skills
- Paid marketing operations
- Attribution frameworks
- Campaign optimization
- Cross-functional leadership
- Systems thinking
- Modularity
- Observability
- Technical fluency
- Meta CAPI
- TikTok Events API
- MMPs (Branch)
- Firebase
- GA4
- Airflow DAGs
- DBT modeling
- LiveRamp
- Segment
- mParticle
- Adobe Experience Platform
- Productsup
- Feedonomics
- VersaFeed
- Google Merchant Center
Benefits
- Flex First remote work policy
- Highly market-competitive compensation
- New hire equity grant as well as annual refresh grants
Salary Range
$149000 - $200000 USD
Locations
- United States, United States (Remote)
Salary
149,000 - 200,000 USD / yearly
Skills Required
- Paid marketing operationsintermediate
- Attribution frameworksintermediate
- Campaign optimizationintermediate
- Cross-functional leadershipintermediate
- Systems thinkingintermediate
- Modularityintermediate
- Observabilityintermediate
- Technical fluencyintermediate
- Meta CAPIintermediate
- TikTok Events APIintermediate
- MMPs (Branch)intermediate
- Firebaseintermediate
- GA4intermediate
- Airflow DAGsintermediate
- DBT modelingintermediate
- LiveRampintermediate
- Segmentintermediate
- mParticleintermediate
- Adobe Experience Platformintermediate
- Productsupintermediate
- Feedonomicsintermediate
- VersaFeedintermediate
- Google Merchant Centerintermediate
Required Qualifications
- 7–12+ years of experience in product, growth infrastructure, MarTech, or marketing systems strategy roles. (experience)
- Deep domain fluency in paid marketing operations — including attribution frameworks, campaign optimization, and how signal quality impacts platform performance. (experience)
- Experience leading large cross-functional efforts with stakeholders across Engineering, Data Science, Product, and Marketing. (experience)
- Strong intuition for how to balance user needs, technical feasibility, and organizational readiness in complex system planning. (experience)
- A systems-first mindset, with an appreciation for modularity, observability, and scaling infrastructure for the next 10x growth phase. (experience)
- Comfort working in ambiguous or early-stage environments — bringing structure where needed, guiding teams through uncertainty, and helping establish scalable foundations from scratch. (experience)
- Technical fluency with a relevant subset of modern Paid MarTech systems and tools — for example: Event and tracking infrastructure: Meta CAPI, TikTok Events API, MMPs (e.g. Branch), Firebase, GA4; Data and orchestration systems: Airflow DAGs, DBT modeling, event validation tools, schema QA frameworks; Audience management and CDP platforms: LiveRamp, Segment, mParticle, Adobe Experience Platform; Feed management tooling: Productsup, Feedonomics, VersaFeed, Google Merchant Center (experience)
Preferred Qualifications
- Experience shaping marketing infrastructure at scaled consumer tech or eCommerce companies. (experience)
- Working knowledge of attribution methods (MMM, MTA, Etc). (experience)
- Background in data governance and privacy-first marketing (ie GDPR, CCPA, ATT). (experience)
- Ability to influence technical architecture without writing production code. (experience)
- Experience with experimentation frameworks (holdouts, geo-experiments). (experience)
- Strong communication and storytelling skills for executive audiences. (experience)
- Curiosity about emerging ad platforms, measurement standards, and AI-driven campaign orchestration. (experience)
Responsibilities
- Own and evolve the product strategy for Paid MarTech tooling — across systems like signal maturity, audience delivery, tagging architecture, and event ingestion.
- Partner with engineering to define technical implementation plans and optimize for long-term scale, reuse, and velocity.
- Make build vs. buy decisions based on impact, effort, integration complexity, and ROI — guiding vendor evaluations and onboarding processes.
- Actively identify gaps in campaign workflow, system reliability, and measurement coverage — then drive clarity around what should be fixed, when, and why.
- Collaborate with marketing leaders to deeply understand their objectives, workflows, and blockers — ensuring the infrastructure roadmap reflects real campaign needs.
- Work cross-functionally with product and engineering leads across Ads, CRM, Lifecycle, and Data to align on dependencies, roadmap sequencing, and shared platform evolution.
- Champion roadmap discipline — prioritizing ruthlessly, communicating clearly, and aligning stakeholders on tradeoffs and outcomes.
Benefits
- general: Flex First remote work policy
- general: Highly market-competitive compensation
- general: New hire equity grant as well as annual refresh grants
Tags & Categories