FutureMedia

FutureMedia is a dynamic, remote-first digital services company specializing in SaaS products, AI-powered solutions, and web and mobile application development. Our team brings together diverse digital experts who focus on innovation, problem-solving, and delivering impactful, technology-driven products for clients across global markets.

We design, develop, build, and analyze. We deliver impactful digital products and services — SaaS products, AI-powered solutions, web and mobile applications. As pioneers in the digital services space, we’re a team that knows how to innovate while having fun. Remote-first, but connection and collaboration are at our core.

About the Role

Data is one of FutureMedia’s most valuable untapped assets. We are now investing seriously in the people and infrastructure needed to unlock it. We are looking for a Head of Data to own this end-to-end, reporting directly to the CTO.

You will be the first dedicated data leader in the business — responsible for the strategy, infrastructure, culture, and team that turn raw product data into a genuine competitive advantage. This is a hands-on leadership role: you will architect, build, and deliver while hiring and mentoring the team around you.

The right person is equally comfortable writing SQL and presenting to the executive team — strategic enough to set direction and practical enough to ship it.

What You’ll DoStrategy & Infrastructure

• Define and own the company’s data strategy, roadmap, and operating model — treating data as a core organisational asset and a product, not a by-product
• Design and build core data infrastructure from scratch: warehouse, pipelines, instrumentation, CDP, transformation, and BI layers

• Own data security and governance: access controls, data classification, PII handling, retention, and privacy compliance (GDPR), embedding privacy-by-design from day one

   

Analytics & Insights

• Define the metrics that matter across acquisition, activation, retention, and monetisation — and align them to company goals
• Own subscription analytics: churn modelling, LTV forecasting, cohort analysis, and pricing signals
• Develop self-serve reporting and a healthy experimentation culture, so every team can answer its own questions without a queue

• Drive AI/ML initiatives where they create measurable product or business value

   

Leadership & Cross-functional Partnership

• Build, lead, and mentor a high-performing data team — engineers, BI analysts, data analysts, and data scientists — scaling the function in line with business growth
• Partner with Product, Marketing, and Engineering to make data-informed decisions the default, not the exception

• Translate data capabilities into business outcomes — not just dashboards

   

What We’re Looking For (Must-Have)

• 7+ years in data roles, including experience building, leading, or mentoring a team
• Proven track record in a B2C SaaS environment, ideally with subscription-based revenue
• Deep hands-on SQL skills and experience with a modern cloud data warehouse (Snowflake, BigQuery, or Redshift)
• Experience with at least one orchestration or transformation tool (dbt, Airflow, or similar)
• Experience building data infrastructure and analytics capability from an early stage in a fast-moving, resource-constrained environment
• Strong commercial acumen: you connect data capability to business outcomes and translate data into decisions, not just dashboards
• Familiarity with product analytics tools (Amplitude, Mixpanel, Segment, or similar)
• Working knowledge of data privacy frameworks (GDPR, CCPA, or similar) and how they shape data handling

• Excellent communication skills, with the ability to influence cross-functional stakeholders and senior leadership

   

Nice to Have

• Experience with multi-product platforms or managing data across diverse verticals
• Working knowledge of ML/AI applications in a product context (recommendation, churn prediction, and similar)

• Python or R proficiency for advanced analysis and modelling

   

Working Conditions

• Competitive compensation
• Remote-first culture with flexible working hours 
• 22 paid vacation days + local national holidays 
• Opportunity to shape the excellence across a growing engineering organisation 
• Modern stack, scalable products, and meaningful technical challenges 

Description

FutureMedia is a remote-first team building and scaling high-impact digital products across SaaS, AI-powered solutions, and consumer web and mobile applications.

We operate a portfolio of high-traffic B2C subscription products in the US market, where each Business Unit functions as an independent P&L with dedicated product, growth, and engineering teams.

We move fast, think analytically, and focus on building scalable growth systems that drive measurable business impact.

Requirements
 

• 3+ years as Product Owner / Product Manager on a web product with real users and revenue
• Deep hands-on use of AI tools in your daily work: specs, planning, reporting, routine. Not optional for us
• Proven experience automating routine: task creation, planning, status tracking, reporting 
• Strong Jira: you build the boards and processes, not just move tickets 
• You write your own specs: short, clear, with acceptance criteria a dev or QA can follow without questions
• You understand how subscription web businesses work and how product decisions affect money 
• You speak the same language as developers, designers, analysts and marketers
• Data-driven: you pull the numbers and defend priorities with evidence 
• Direct and reliable: you say "this will slip" before it slips

Responsibilities
 

• Own the backlog and daily, weekly and monthly planning. You always know the status of every task
• Be accountable for the engineering and product design teams: planned, unblocked, delivered on time
• Coordinate with analytics, marketing and operations so nothing falls between teams 
• Write clear, structured tasks: why, what exactly is needed, and how we know it's done
• Keep the workflow smooth: no delays, no stuck tickets, no surprises. Flag risks early 
• Runs daily and weekly planning and reporting and automate them instead of doing them by hand
• Work directly with the Head of Business Unit on our quarterly goals 
• Prioritise with data, not opinions. 

Nice to have

• Experience building AI agents to automate your own or the team's work. 
• Experience with an international, distributed team. 
• Experience taking a product from launch to scale. 

• Experience with A/B testing and experiment-driven roadmaps.  

   

Working conditions

• Competitive compensation
• Remote-first culture with flexible working hours 
• 22 paid vacation days + local national holidays 
• Opportunity to shape the excellence across a growing engineering organisation 
• Modern stack, scalable products, and meaningful technical challenges

FutureMedia is a dynamic, remote-first digital services company specializing in SaaS products, AI-powered solutions, and web and mobile application development. Our team brings together diverse digital experts who focus on innovation, problem-solving, and delivering impactful, technology-driven products for clients across global markets.

We design, develop, build, and analyze. We deliver impactful digital products and services — SaaS products, AI-powered solutions, web and mobile applications. As pioneers in the digital services space, we’re a team that knows how to innovate while having fun. Remote-first, but connection and collaboration are at our core.

About the Role

Our data is a strategic asset, and we are now building the infrastructure needed to unlock it. As an early member of our Data team, reporting to the Head of Data, you will design and own the pipelines, warehouse, and tooling that turn product signals into business intelligence.
You are joining at the ground floor: the data layer is being built now, so your decisions will shape it. We treat data as a product and hold a high bar for quality and reliability. The stack includes Python, SQL, dbt, Airflow or Prefect, Snowflake or BigQuery, Segment, Amplitude, AWS or GCP, Terraform, Looker or Metabase, Fivetran or Airbyte, GitHub Actions, and Kafka (planned).

What You’ll DoPipelines & Warehouse

• Design, build, and maintain scalable ELT/ETL pipelines ingesting data from product surfaces, payment providers, and third-party APIs
• Architect and manage our cloud data warehouse (Snowflake, BigQuery, or Redshift) from the ground up
• Implement orchestration workflows (Airflow, Prefect, or similar) for reliability and full observability

• Optimise warehouse performance and cost through query tuning, clustering, and sensible warehouse sizing

   

Transformation, Quality & Governance

• Develop clean, well-documented, testable transformation layers (dbt or equivalent), applying dimensional modelling principles
• Build and govern a canonical semantic layer so metric and entity definitions stay consistent across every BI tool and consumer
• Define and enforce data quality standards, SLAs, tests, and monitoring across critical datasets, and maintain a central data catalogue with clear lineage

• Build security and governance into the platform: RBAC, PII classification and masking, encryption, and retention and deletion workflows that support privacy requests

   

Product & Engineering Partnership

• Partner with Product and Growth to instrument event tracking (Segment, Amplitude, or similar) and deliver datasets that power funnels, subscription metrics (MRR, churn, LTV), and A/B test reporting
• Collaborate with Software Engineers on data contract design, API logging, and Change Data Capture where needed

• Champion DataOps practices: version control, CI/CD for data, and documentation-as-code

   

What We’re Looking For (Must-Have)

• 3+ years of professional experience as a Data Engineer or in a closely related role
• Strong command of SQL and at least one of Python or Scala for data processing
• Hands-on experience with a modern cloud data warehouse (Snowflake, BigQuery, or Redshift)
• Experience with workflow orchestration tools (Airflow, Prefect, Dagster, or equivalent)
• Prior experience at a B2C SaaS, subscription, or marketplace business, with a grasp of funnels, churn, and LTV
• Solid understanding of data modelling principles and experience with dbt or a similar transformation framework
• Proven ability to design and scale batch and/or streaming data pipelines in production
• A strong sense of data ownership — you treat data as a product and hold a high bar for quality and reliability
• A clear communicator who can translate technical decisions into business value for non-technical stakeholders

• Comfortable handling personal data responsibly, applying access controls and privacy-aware practices

   

Nice to Have

• Familiarity with product analytics tools such as Segment, Amplitude, or Mixpanel
• Experience building or contributing to a semantic layer or canonical data model
• Experience with streaming platforms (Kafka, Kinesis) for real-time use cases
• Exposure to ML infrastructure or feature stores, a plus as we expand into AI products
• Experience setting up a data platform from scratch in a scale-up environment

Working Conditions

• Competitive compensation
• Remote-first culture with flexible working hours 
• 22 paid vacation days + local national holidays 
• Opportunity to shape the excellence across a growing engineering organisation 
• Modern stack, scalable products, and meaningful technical challenges 

FutureMedia is a dynamic, remote-first digital services company specializing in SaaS products, AI-powered solutions, and web and mobile application development. Our team brings together diverse digital experts who focus on innovation, problem-solving, and delivering impactful, technology-driven products for clients across global markets.

We design, develop, build, and analyze. We deliver impactful digital products and services — SaaS products, AI-powered solutions, web and mobile applications. As pioneers in the digital services space, we’re a team that knows how to innovate while having fun. Remote-first, but connection and collaboration are at our core.

About the Role

We are building our data function from the ground up, and we need sharp analysts to turn a growing pile of product and subscription data into decisions. As a Data Analyst, reporting to the Head of Data, you will be the person teams come to when they need to understand why something is happening.

You will dig into funnels, experiments, and cohorts, find the story in the numbers, and make a clear recommendation. Less “build the dashboard,” more “answer the question no one else can.” This is an early role on a forming team — so you will have unusually broad scope and direct influence on product and growth decisions.

What You’ll Do

Analysis & Insight

• Investigate product, growth, and subscription questions end to end — from a vague business prompt to a clear, actionable answer
• Run deep dives into funnels, retention, churn drivers, time-to-value, feature adoption, and monetisation across the product suite
• Build cohort, segmentation, and LTV analyses that shape how we acquire and keep subscribers

• Synthesise quantitative data with qualitative context so recommendations reflect why users behave the way they do, not just what they did

   

Experimentation & Product Partnership

• Design, size, and analyse A/B tests — interpreting lift, impact, and risk, including the inconclusive results
• Partner with Product and Growth to define success metrics and hypotheses before experiments launch

• Present findings to product managers, marketers, and leadership in plain language — with a recommendation attached and tied back to company goals

   

Data Quality & Infrastructure

• Validate data accuracy across source systems and run root-cause analysis on anomalies before they reach a dashboard
• Work with the BI Analyst and Data Engineers to turn recurring analyses into governed, reusable models
• Handle personal and behavioural data responsibly, in line with privacy and access policies
   

What We’re Looking For (Must-Have)

• 2+ years in a Data Analyst, Product Analyst, or Growth Analyst role
• Strong SQL — you can pull and shape data from a warehouse independently, including event-level and behavioural datasets
• Solid analytical foundation: funnels, cohorts, segmentation, and the basics of statistical significance and experiment design
• Experience with product analytics tools (Amplitude, Mixpanel, Segment, or similar)
• Prior experience in B2C SaaS, subscription, or marketplace businesses, with first-hand knowledge of funnels, churn, and LTV
• The ability to turn analysis into a clear narrative and a recommendation a non-technical stakeholder can act on
• Curiosity and autonomy: comfortable framing the question, not just answering it, in a fast-moving environment
   

Nice to Have

• Python or R for deeper analysis and modelling
• Familiarity with a BI tool (Looker, Metabase, Tableau)
• Exposure to dbt or working with modelled data layers
• Experience with predictive or ML-adjacent analysis (churn prediction, propensity, and similar)
  
   

Working Conditions

• Competitive compensation
• Remote-first culture with flexible working hours 
• 22 paid vacation days + local national holidays 
• Opportunity to shape the excellence across a growing engineering organisation 
• Modern stack, scalable products, and meaningful technical challenges