Measurement Strategist
Darkroom · Miami, FL · 1 mo ago
On-siteBusiness DevelopmentFull-time
We need to output HTML fragment with sections: About the role (already present), Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. The posting includes "About The Role" which is basically description of role; we can treat that as "About the role". Then responsibilities: bullet list of what you'll own (data architecture, incrementality, MMM, measurement across media mix, growth analysis). Requirements: what you'll bring (experience, SQL, Python/R, incrementality expertise, MMM experience, measurement infrastructure, full-funnel understanding, cloud data warehouses, communication). Skills: maybe combine with requirements? But we need separate sections if content exists. The posting also includes "What It's Like To Work At Darkroom" which includes benefits: Unlimited PTO + US holidays, Remote-First Culture, Health & Wellness (medical, dental, vision), 401(k) with match and profit-sharing, Parental Leave, Growth opportunities. Also maybe "Benefits" section. Pay and Schedule not mentioned, so omit.
We must not repeat job title. No Job ID. Remove boilerplate like Equal Opportunity Statement, etc. Also remove navigation, cookie, legal, EEO, scam-warning. Also remove duplicated lines.
We need to preserve all substantive information. So we need to include all bullet points from responsibilities, requirements, benefits.
We need to use for section headings. Use
for section headings. Use - for any list of duties/requirements/benefits. Use
for prose.
We should not create sections with filler like "commensurate with experience". Not present.
We need to output only HTML fragment.
Let's structure:
About the role
Darkroom is hiring a Measurement Strategist to own the measurement program for a dedicated client engagement. You’ll build the data foundation, design and execute experiments, manage external measurement partners, and translate findings into decisions about media investment and growth. This is a highly technical, hands-on role for someone who can work directly with complex datasets, design rigorous incrementality tests, and explain what the results mean for the business. You’ll work closely with Darkroom’s growth, media, and creative teams, alongside client stakeholders across product, engineering, data, and finance. Your work will connect marketing investment to acquisition, activation, revenue, retention, and sustainable customer economics. As the media mix expands across channels and markets, you’ll help determine what is driving incremental growth and where the next dollar should go. This position is fully allocated to one client.
Then responsibilities: maybe heading Responsibilities
with list of bullet points from "What you’ll own". Let's extract bullet points:
- Data architecture and measurement infrastructure
- Audit the existing measurement setup and establish the architecture connecting media delivery, web and app activity, customer behavior, and revenue.
- Define event taxonomies, campaign naming conventions, KPI definitions, attribution rules, and reporting requirements so teams work from consistent, reliable data.
- Build and maintain analytical datasets, SQL queries, automated workflows, and dashboards.
- Reconcile discrepancies across platforms and establish ongoing data quality checks.
- Partner with engineering and implementation teams on tracking, integrations, identity matching, and data pipelines, owning measurement requirements and validating implementation.
- Incrementality and experimentation
- Own a prioritized testing roadmap tied to business growth questions, including channel incrementality, audience and geographic expansion, creative effectiveness, and downstream customer quality.
- Design and execute geo holdouts, matched-market tests, audience holdouts, platform conversion and brand lift studies, and controlled A/B experiments.
- Establish hypotheses, primary outcomes, power analyses, minimum detectable effects, budgets, test duration, and decision criteria before launch.
- Coordinate execution with media and client teams, monitor test integrity, and deliver readouts that clearly explain incremental impact, uncertainty, business implications, and recommended next steps.
- MMM and measurement partner management
- Own day-to-day relationships with external marketing mix modeling and incrementality partners, including onboarding, data delivery, methodology reviews, and recurring analyses.
- Assess whether available history, spend variation, and outcome volume support reliable modeling; sequence the measurement roadmap accordingly.
- Pressure-test model assumptions and outputs, including baseline demand, lagged effects, saturation, and the influence of product or market changes.
- Bring together experiment results, MMM, attribution, and business performance to inform channel response curves, marginal returns, and budget scenarios.
- Measurement across the media mix and customer journey
- Build a KPI framework connecting awareness and acquisition to activation, conversion, retention, and customer value.
- Develop measurement approaches for a diversified mix spanning paid social, search, online video, creators, programmatic, CTV, audio, and offline channels as the program expands.
- Evaluate how demand creation influences search, direct traffic, and subsequent conversion, accounting for the different roles channels play.
- Analyze cohorts by acquisition source, market, creative, audience, and customer segment to identify which investments generate durable business value.
- Growth analysis and decision support
- Maintain and refine growth forecasts and investment scenarios using observed performance, experiment findings, cohort economics, and partner modeling outputs.
- Identify diminishing returns, opportunities to expand investment, and constraints in activation, conversion, retention, or profitability.
- Build clear reporting and lead measurement discussions with internal and client stakeholders, translating complex findings into specific recommendations on what to scale, change, or test next.
We could flatten into a single list of responsibilities, but better to keep subheadings? The instruction: use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It doesn't forbid additional headings, but we should stick to those. So we can have a single Responsibilities section with a list that includes all those duties. Could be long but okay.
Similarly Requirements: from "What you’ll bring" plus maybe "Experience That Would Be Especially Valuable". We'll combine.
Requirements bullet list:
- Ideally 5–6+ years of relevant experience in marketing science, measurement, growth analytics, or a closely related field, with direct ownership of analytical work and experimentation.
- Advanced SQL and strong Python or R skills. You can independently extract, join, clean, validate, and analyze large datasets, and automate recurring work.
- Demonstrated incrementality expertise, including hands-on experience designing and analyzing controlled experiments, applying power analysis, and interpreting uncertain or inconclusive results.
- Practical MMM experience, including preparing data, working with modeling partners, evaluating methodology, and translating findings into investment decisions.
- Experience establishing measurement infrastructure across advertising platforms, web or app analytics, customer data, and revenue systems.
- Strong understanding of full-funnel media, attribution limitations, cohort analysis, CAC, LTV, payback, and contribution margin.
- Experience with cloud data warehouses and visualization tools, with the ability to build reliable analytical models and reporting.
- Clear communication and strong ownership: you can work independently, collaborate with technical teams, and defend a recommendation with evidence.
Experience That Would Be Especially Valuable (could be part of Requirements or separate Qualifications). We could treat as Qualifications section. But we have Qualifications heading possible. Let's put those as Qualifications.
Qualifications bullet list:
- Measurement programs built from launch or during rapid growth.
- Brand and performance measurement across multiple markets, including channels with limited user-level attribution.
- Subscription, recurring revenue, or other businesses where retention and customer lifetime value guide acquisition decisions.
- Turning forecasts and scenario models into tools teams use for ongoing investment decisions.
Skills: maybe we could separate technical skills: Advanced SQL, Python/R, etc. But we already included in Requirements. Could create Skills section for those. However we must not repeat content. The instruction: Prefer a few substantive sections over many thin ones. So maybe combine Requirements and Skills into one Requirements section. But we have headings list includes Skills; we could still include if we have content. But we risk duplication. Better to follow the headings list but only include if we have distinct content. We could put technical skills under Skills, and experience under Requirements. Let's try:
Requirements: experience (years, ownership). Skills: technical skills (SQL, Python/R, incrementality, MMM, measurement infrastructure, full-funnel understanding, cloud data warehouses, visualization, communication). Qualifications: the especially valuable experience.
Thus we avoid duplication.
Let's extract:
Requirements (experience):
- Ideally 5–6+ years of relevant experience in marketing science, measurement, growth analytics, or a closely related field, with direct ownership of analytical work and experimentation.
Skills (technical):
- Advanced SQL and strong Python or R skills. You can independently extract, join, clean, validate, and analyze large datasets, and automate recurring work.
- Demonstrated incrementality expertise, including hands-on experience designing and analyzing controlled experiments, applying power analysis, and interpreting uncertain or inconclusive results.
- Practical MMM experience, including preparing data, working with modeling partners, evaluating methodology, and translating findings into investment decisions.
- Experience establishing measurement infrastructure across advertising platforms, web or app analytics, customer data, and revenue systems.
- Strong understanding of full-funnel media, attribution limitations, cohort analysis, CAC, LTV, payback, and contribution margin.
- Experience with cloud data warehouses and visualization tools, with the ability to build reliable analytical models and reporting.
- Clear communication and strong ownership: you can work independently, collaborate with technical teams, and defend a recommendation with evidence.
Qualifications (especially valuable):
- Measurement programs built from launch or during rapid growth.
- Brand and performance measurement across multiple markets, including channels with limited user-level attribution.
- Subscription, recurring revenue, or other businesses where retention and customer lifetime value guide acquisition decisions.
- Turning forecasts and scenario models into tools teams use for ongoing investment decisions.
Benefits section: from "What It's Like To Work At Darkroom":
- Unlimited PTO + US holidays: Rebooting is part of the work. Take the time you need to stay sharp.
- Remote-First Culture: Many roles are fully remote. Employees based in or near our New York or Lisbon HQs are expected to work hybrid with weekly in-office time. Hub locations include Brazil and Spain.
- Health & Wellness: Company-sponsored medical, dental, and vision coverage.
- Finances, growth, and retirement: Darkroom offers a robust 401(k) program with company match and profit-sharing opportunities to help you save and grow as the company grows.
- Parental Leave: Flexible parental leave to support new parents during this important transition.
- Growth: Our interdisciplinary model gives every Darkroomer exposure far beyond their core role. Grow your skills, expand your influence, and stay at the forefront of the industry.
We should not include Equal Opportunity Statement.
Now construct HTML.
We need to wrap each section in heading then content.
For lists, use - .
For prose, use
.
We'll have:
About the role
...
Responsibilities
...
Requirements
...
Skills
...
Qualifications
...
Benefits
...
Check that we didn't miss any substantive info: The "About Darkroom" introductory paragraph about company is not needed? The instruction: "Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short or drop it." The "About Darkroom" is company overview; is that substantive? It's not about the role but could be considered background. The instruction says preserve ALL substantive information; do NOT invent or summarize away detail. Should we include the company overview? It's not a section heading but could be included as a paragraph before About the role? The page already shows job title; we could include a short paragraph about the company as part of the role description? The instruction about sections: use headings for those specific ones. It
for prose. We should not create sections with filler like "commensurate with experience". Not present. We need to output only HTML fragment. Let's structure:
About the role
Darkroom is hiring a Measurement Strategist to own the measurement program for a dedicated client engagement. You’ll build the data foundation, design and execute experiments, manage external measurement partners, and translate findings into decisions about media investment and growth. This is a highly technical, hands-on role for someone who can work directly with complex datasets, design rigorous incrementality tests, and explain what the results mean for the business. You’ll work closely with Darkroom’s growth, media, and creative teams, alongside client stakeholders across product, engineering, data, and finance. Your work will connect marketing investment to acquisition, activation, revenue, retention, and sustainable customer economics. As the media mix expands across channels and markets, you’ll help determine what is driving incremental growth and where the next dollar should go. This position is fully allocated to one client.
Then responsibilities: maybe headingResponsibilities
with- list of bullet points from "What you’ll own". Let's extract bullet points:
- Data architecture and measurement infrastructure
- Audit the existing measurement setup and establish the architecture connecting media delivery, web and app activity, customer behavior, and revenue.
- Define event taxonomies, campaign naming conventions, KPI definitions, attribution rules, and reporting requirements so teams work from consistent, reliable data.
- Build and maintain analytical datasets, SQL queries, automated workflows, and dashboards.
- Reconcile discrepancies across platforms and establish ongoing data quality checks.
- Partner with engineering and implementation teams on tracking, integrations, identity matching, and data pipelines, owning measurement requirements and validating implementation.
- Incrementality and experimentation
- Own a prioritized testing roadmap tied to business growth questions, including channel incrementality, audience and geographic expansion, creative effectiveness, and downstream customer quality.
- Design and execute geo holdouts, matched-market tests, audience holdouts, platform conversion and brand lift studies, and controlled A/B experiments.
- Establish hypotheses, primary outcomes, power analyses, minimum detectable effects, budgets, test duration, and decision criteria before launch.
- Coordinate execution with media and client teams, monitor test integrity, and deliver readouts that clearly explain incremental impact, uncertainty, business implications, and recommended next steps.
- MMM and measurement partner management
- Own day-to-day relationships with external marketing mix modeling and incrementality partners, including onboarding, data delivery, methodology reviews, and recurring analyses.
- Assess whether available history, spend variation, and outcome volume support reliable modeling; sequence the measurement roadmap accordingly.
- Pressure-test model assumptions and outputs, including baseline demand, lagged effects, saturation, and the influence of product or market changes.
- Bring together experiment results, MMM, attribution, and business performance to inform channel response curves, marginal returns, and budget scenarios.
- Measurement across the media mix and customer journey
- Build a KPI framework connecting awareness and acquisition to activation, conversion, retention, and customer value.
- Develop measurement approaches for a diversified mix spanning paid social, search, online video, creators, programmatic, CTV, audio, and offline channels as the program expands.
- Evaluate how demand creation influences search, direct traffic, and subsequent conversion, accounting for the different roles channels play.
- Analyze cohorts by acquisition source, market, creative, audience, and customer segment to identify which investments generate durable business value.
- Growth analysis and decision support
- Maintain and refine growth forecasts and investment scenarios using observed performance, experiment findings, cohort economics, and partner modeling outputs.
- Identify diminishing returns, opportunities to expand investment, and constraints in activation, conversion, retention, or profitability.
- Build clear reporting and lead measurement discussions with internal and client stakeholders, translating complex findings into specific recommendations on what to scale, change, or test next.
We could flatten into a single list of responsibilities, but better to keep subheadings? The instruction: use
- .
For prose, use
. We'll have:
About the role
...
Responsibilities
- ...
Requirements
- ...
Skills
- ...
Qualifications
- ...
Benefits
- ...
or drop it." The "About Darkroom" is company overview; is that substantive? It's not about the role but could be considered background. The instruction says preserve ALL substantive information; do NOT invent or summarize away detail. Should we include the company overview? It's not a section heading but could be included as a paragraph before About the role? The page already shows job title; we could include a short paragraph about the company as part of the role description? The instruction about sections: use headings for those specific ones. It