Location: Australia
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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THE ROLE
Docker is launching a Professional Services organization to accelerate customer success, reduce time-to-value, and drive enterprise adoption for agentic workloads. As a Principal Solution Architect, you'll play a critical role in building and scaling this function. You will join a team of seasoned experts with deep experience backed by Docker's unmatched reach across Fortune 500 companies.
This is a high-visibility role working directly with senior leadership across revenue, product, marketing, and partner organizations. You'll shape service strategy, drive cross-functional alignment, and deliver offerings that accelerate both services revenue and platform expansion.
You'll serve as a trusted advisor to our largest and most strategic partners and enterprise customers, providing thought leadership on integrating Docker agentic solutions within enterprise environments.
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RESPONSIBILITIES
Build and Scale the Professional Services Practice
- Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP (model context protocol)/AI agent environments, IDP integrations, and secure supply chain workflows so that engagements scale consistently across customers and partners.
- Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns that reduce scoping time and improve delivery consistency.
- Collaborate with product, marketing, and revenue teams to integrate services into GTM motions and align delivery to Docker's AI platform roadmap.
- Identify offerings that drive product expansion, renewals, and long-term customer value.
- Support Partnerships & Alliances in selecting, onboarding, and enabling technical integration partners, system integrators (SIs), and service delivery partners.
Drive Strategic Customer Outcomes
- Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains.
- Lead technical discovery and architecture engagements that span enterprise integration layers
- Architect and deliver self-hosted Docker deployments within air-gapped, regulated, and complex enterprise environments including local image registry setup, offline toolchain configuration, and compliance-driven infrastructure design.
- Design and Guide customers through implementation of agentic AI toolchains, including MCP server/client architecture, tool orchestration, observability integration and secure deployment patterns aligned to Docker's AI platform.
- Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions.
- Directly deliver or assign and oversee appropriate delivery partners to execute service engagements and ensure technical objectives are met.
Enable Cross-Functional Success
- Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines.
- Translate field insights including enterprise integration patterns, IDP/SSO friction points, observability gaps, and AI deployment challenges into actionable product and services strategy, roadmap, and partner capabilities.
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QUALIFICATIONS
REQUIRED
- 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm.
- Demonstrated experience architecting and deploying self-hosted and air-gapped deployment architectures: local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints common in regulated industries.
- Enterprise integration experience across Identity Providers (Okta, Azure AD, LDAP/Active Directory) and federated identity protocols (OIDC, SAML, SSO), including RBAC design within complex, multi-tenant enterprise environments.
- Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment patterns.
- Hands-on experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise environments with awareness of Docker's AI platform roadmap including AI agent containerization, model provenance, and AI supply chain security.
- Deep understanding of container and software supply chain security: Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance.
- Excellent facilitation and stakeholder management skills; able to lead executive-level architecture conversations and influence senior stakeholders without formal authority.
- Direct experience delivering high-quality services engagements that achieve customer value while meeting revenue and ARR growth targets within a revenue organization.
- Recognition by enterprise customers as a strategic technical advisor.
BONUS
- Experience architecting AI platforms in large enterprise environments LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns.
- Background enabling system integrators, consultancies, or partner ecosystems.
- Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government.
- Led AI security architecture engagements that addressed model provenance, artifact signing, and supply chain integrity for containerized AI workloads including secure MCP server deployment, tool and resource access controls, secrets management within agentic pipelines, and runtime isolation patterns for LLM-based applications.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Onboard to Docker's mission, values, and operating model.
- Deeply familiarize yourself with our product portfolio, AI platform roadmap, and strategic customers.
- Build strong partnerships with Product, Engineering, and Sales functions.
- Plug into the team's rhythm of business (standups, reviews, shadow customer engagements).
FIRST 90 DAYS
- Scope, define SOWs, delivery, and oversight of customer service engagements.
- Participate in the creation of reference architectures for key use cases..
- Participate in initiatives to build out and improve the services department's offerings.
ONE-YEAR OUTLOOK
- Successful delivery and oversight of customer service engagements.
- Contribute materially to the build-out of Docker's service offerings across AI, security, and enterprise integration practices.
- Institutionalize continuous improvement by providing field feedback including enterprise integration patterns, deployment blockers, and observability gaps to the product team.
Visa sponsorship: Not available for this role.
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Leeds, England, United Kingdom; London, England, United Kingdom
About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
The role
A casino should feel alive. This role is how we do that. A brand campaign film, feature launch animation, in-product motion, and the 3D asset library that increasingly underpins how Casino looks everywhere.
You'll be fully integrated with the creative team, shaping ideas in motion from the moment a brief lands.
What you’ll do
Design and animate motion for brand campaigns, feature launches, social, CRM and in-product promotions..
Build 2D and 3D assets and scenes for game launches, product and brand moments across campaigns.
Own a reusable 3D and motion asset library, with templates and rigs the rest of the team can pick up.
Refine and apply Casino's motion principles alongside the design team.
Storyboard and pitch motion ideas early, shaping concepts while they're still forming.
Edit, grade and finish video, including versioning and cutdowns for every channel.
Art-direct or work alongside external motion and 3D partners.
Make sure disclaimer and responsible gaming messaging in video is legible, correctly timed and on screen long enough to be read comfortably.
What you bring
5+ years in motion design and 3D, with a reel that demonstrates both convincingly.
Expert After Effects and Cinema 4D skills.
Strong design fundamentals: type, composition and colour, alongside your animation craft.
Fluency in Adobe Creative Suite and Figma, and comfort working inside a design system.
The ability to manage several deliverables and render deadlines at once, calmly.
Good judgement about where AI video and image tools add real value.
Bonus points
Sound design or audio finishing.
Experience animating app or game UI.
Your first 90 days
You'll work hand in glove with the internal creative and brand teams, creating high polish animated assets for campaign, paid and organic output.
For information about our benefits, please visit
https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
£47,000
—
£60,000 GBP
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: (Multiple States), United Kingdom
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), Germany
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), France
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), Ireland
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), Spain
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), Portugal
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), Netherlands
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Remote
Workplace: Remote
More than 30,000 subscription apps run on Adapty: $5B in revenue tracked, 4B users served, 80B API calls a month. That's one of the richest datasets in the app economy. Our mission is simple: make apps rich.
We are a team of 210+ passionate, product-driven people who love solving big challenges. Backed by top investors like 500 Startups and Surface Ventures, we are building one of mobile's fastest-growing SaaS companies and aiming for number one worldwide.
WHY THIS ROLE MATTERS
Adapty's Flow & Paywall Builder lets app teams generate onboarding flows and paywalls with AI, test them, and ship without an App Store release. In 2026, Adapty split marketing by product, and the Builder got its own small GTM team, budget, and targets. The goal: make it the first builder app teams think of when they want to change a paywall without waiting for a release.
You'll lead that. You own positioning, the funnel from first touch to a lead from our target list, and every campaign and launch in between. You set priorities for a content marketer and a designer, run paid with a performance marketer, and hand leads to SDR and Sales. Small team, fast tests, clear numbers.
WHAT YOU'LL DO
- Own the Builder's positioning: find the hooks that win with the people who run onboarding and paywalls, test them in market, hand the winners to the website team
- Build and run the funnel to a lead: ABM on our target list, paid, webinars, events, lead magnets
- Run every campaign as a bet: a hypothesis and a lead target before launch, a result after
- Ship every Builder release with a GTM package: messaging, launch comms, product page input, sales enablement
- Build the middle of the funnel: comparison and migration pages, case studies, proof
- Review the funnel weekly with SDR and make sure leads get worked
- Set the quarterly plan and weekly priorities for the content marketer and designer
ABOUT YOU
- 4+ years in B2B SaaS product or growth marketing, with a lead or pipeline target you owned
- You've repositioned a product or a segment and can show what moved
- You know conversion at every stage of your funnel and which channel brings the right accounts
- You've run account-based campaigns together with SDR or Sales
- You write the copy yourself: landing pages, ads, emails
- You use AI across your work: research, copy, analysis
- Strong written English
NICE TO HAVE
- Mobile apps, subscriptions, ad tech, MMP or dev tools background
- You know paywalls, onboarding and A/B testing from the inside
- You've positioned a product against a well-known competitor
- You've led a small team or contractors
- Hands-on with HubSpot, LinkedIn Ads, or Google Ads
WHAT'S IN IT FOR YOU
- Strong product with industry-best metrics. Adapty is among the top 5% fastest-growing SaaS companies.
- Exceptional compensation directly tied to your results.
- Direct communication and ownership. No bureaucracy, no politics, just impact.
- Flexible remote work. Join us from anywhere or work onsite in our Belgrade or London offices.
- Professional support. Language learning, sports, health insurance, laptop coverage, and more.
Location: Limerick
At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Within Membership Services, we bring that mission to life by transforming every touchpoint into a catalyst for progress, so members feel equipped to rise to the moment, every moment.
WHOOP is seeking a Change Management Specialist to help Membership Services successfully adopt, embed, and sustain operational change. This role will help shape and operate the team’s change management framework, supporting changes to products, policies, processes, tools, and ways of working. This includes change intake, impact assessment, sizing, governance, implementation planning, adoption measurement, and reinforcement.
You will partner closely with Learning & Training, Quality, Knowledge Management, Support Operations, and Readiness to translate upcoming changes into coordinated, practical plans. You will help ensure Membership Services leaders and representatives understand what is changing, why it matters, how their work will be affected, and what support they need to confidently serve our members.
Through structured planning, frontline engagement, data, and feedback, you will identify adoption risks, coordinate the right support, and help ensure changes are clearly understood, effectively implemented, and sustained over time - enabling Membership Services to consistently deliver the distinguished service our members expect.
RESPONSIBILITIES
- Manage the Membership Services change intake, assessment, and sizing process, evaluating the impact on both members and internal teams to determine the appropriate path.
- Build and execute right-sized change plans that define the intended member experience, impacted audiences, communications, enablement needs, milestones, dependencies, risks, ownership, and success measures.
- Coordinate with Learning & Training, Quality, Knowledge Management, and Support Operations to ensure representatives have the guidance, skills, processes, and resources needed to provide accurate and consistent member support.
- Assess the impact of upcoming changes on AI-enabled support and automation, coordinating updates to knowledge, workflows, guardrails, testing, and escalation paths to ensure accurate and consistent member experiences from launch.
- Manage assigned changes through implementation, adoption, and reinforcement, anticipating potential member friction and ensuring teams are prepared to support the experience from launch.
- Partner with Launch Readiness Specialists on complex initiatives, leading or supporting the employee impact and adoption workstream while bringing frontline and member insights into readiness decisions.
- Engage Membership Services leaders and frontline teams to validate impacts, identify adoption barriers, gather feedback, and ensure change plans reflect the realities of the member experience.
- Track adoption and outcomes using employee feedback, training and knowledge indicators, quality trends, process adherence, operational performance, and member contact data; coordinate targeted action where gaps emerge.
- Provide clear stakeholder updates, facilitate post-implementation reviews, and apply lessons learned to reduce member friction and continuously improve how change is delivered across Membership Services.
QUALIFICATIONS
- 2+ years of experience in change management, project coordination, enablement, operations, or a related field.
- Experience supporting change from planning through implementation, adoption, and reinforcement.
- Strong organizational and project management skills, with the ability to manage multiple priorities and timelines.
- Excellent communication and stakeholder management skills, with the ability to translate complex information into clear, practical guidance.
- A member-first, data-informed approach to identifying risks, measuring outcomes, and improving the experience.
- Fluency with AI-enabled tools and the judgment to use them responsibly while maintaining high standards for accuracy and quality.
- Demonstrated passion for performance, health and wellness, and the WHOOP mission.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The Ireland base salary range for this full-time position is €40,000 - 55,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Jakarta, Indonesia
Workplace: hybrid
At inDrive, we're not just building a ride-hailing app — we're building a financial platform at global scale. Our lending product is one of the fastest-growing verticals in the company. We're looking for a Senior Product Analyst who thrives where data work directly drives product and revenue decisions.
This is a rare combination: the stability of a well-funded global company with the speed and ownership of an early-stage product. If you want your analysis to shape a product used by millions, we'd love to talk.
Key Responsibilities
Define the metrics that matter — design, calculate, and monitor KPIs for new product features and initiatives across the credit funnel
Drive funnel optimization — identify where users drop off, why, and which levers move conversion at each stage
Surface growth opportunities — dig into data to find product directions worth betting on
Assess business value — model expected profit from new projects and features before launch, and track actual vs. forecast after
Run A/B experiments end-to-end — from hypothesis and test design through statistical analysis to rollout decisions
Define pricing strategy — run tests and analyze how rate, term, and eligibility settings affect conversion, default rates, and portfolio health
Build the analytics foundation — maintain documentation, create data marts, and partner with the Data team to ensure clean, reliable product data
Translate findings into decisions — deliver crisp recommendations to product and business teams so insights actually change what gets built
Skills, Knowledge and Expertise
3+ years in product analytics or data science, with a track record of influencing product decisions — not just reporting numbers
Strong statistical foundation: A/B testing, causal inference, time series
Advanced SQL — comfortable writing and optimizing complex queries across large datasets
Python proficiency — pandas, numpy, and the rest of the standard data stack
Experience with BI and visualization tools: Redash, Tableau, or similar
Structured thinking and a product mindset — you balance analytical rigor with business pragmatism
Bonus: background in fintech, lending, or marketplace products at scale
English: Professional Working Proficiency
Why join us
Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 47 countries
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs
Final benefits may vary depending on the location.
Location: Limassol, Cyprus
Workplace: hybrid
At inDrive, we're not just building a ride-hailing app — we're building a financial platform at global scale. Our lending product is one of the fastest-growing verticals in the company. We're looking for a Senior Product Analyst who thrives where data work directly drives product and revenue decisions.
This is a rare combination: the stability of a well-funded global company with the speed and ownership of an early-stage product. If you want your analysis to shape a product used by millions, we'd love to talk.
Key Responsibilities
Define the metrics that matter — design, calculate, and monitor KPIs for new product features and initiatives across the credit funnel
Drive funnel optimization — identify where users drop off, why, and which levers move conversion at each stage
Surface growth opportunities — dig into data to find product directions worth betting on
Assess business value — model expected profit from new projects and features before launch, and track actual vs. forecast after
Run A/B experiments end-to-end — from hypothesis and test design through statistical analysis to rollout decisions
Define pricing strategy — run tests and analyze how rate, term, and eligibility settings affect conversion, default rates, and portfolio health
Build the analytics foundation — maintain documentation, create data marts, and partner with the Data team to ensure clean, reliable product data
Translate findings into decisions — deliver crisp recommendations to product and business teams so insights actually change what gets built
Skills, Knowledge and Expertise
3+ years in product analytics or data science, with a track record of influencing product decisions — not just reporting numbers
Strong statistical foundation: A/B testing, causal inference, time series
Advanced SQL — comfortable writing and optimizing complex queries across large datasets
Python proficiency — pandas, numpy, and the rest of the standard data stack
Experience with BI and visualization tools: Redash, Tableau, or similar
Structured thinking and a product mindset — you balance analytical rigor with business pragmatism
Bonus: background in fintech, lending, or marketplace products at scale
English: Professional Working Proficiency
Why join us
Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 47 countries
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs
Salary from 70 700 EUR gross
Final benefits may vary depending on the location.
Location: Leeds, England, United Kingdom; London, England, United Kingdom
About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
The role
You obsess over how Fanatics Casino looks. Every touchpoint a player meets us on: a campaign, a feature launch, email inbox, the app itself, should feel like it came from the same confident place. You'll help define the system that makes that true.
You'll set and hold the visual standard, lead the design team day to day, and stay close enough to the work to shape it with your own hands. This is a hands-on, lead role with real conceptual craft in it.
What you’ll do
Lead design across brand campaigns, feature launches, in-product and always-on marketing.
Protect and iterate the Casino visual identity and the design system behind it: type, colour, layout, imagery, iconography principles.
Direct and review the team's work, giving feedback that is specific enough to act on.
Work with Product Design and Brand to keep marketing and in-app experiences visually coherent.
Art-direct external partners: photographers, illustrators, motion studios and retouchers.
Present design work to senior leadership and explain the thinking behind it.
Make sure design actively supports responsible gaming: disclaimers that are genuinely legible, RG messaging that is easy to find, and complete clarity about odds, value and what an offer includes.
What you bring
5+ years in design across brand and digital, with at least 2 owning a conceptual design function.
A portfolio that shows system thinking alongside standout individual pieces. We'd love to see the rules you wrote as well as the work they produced.
Expert-level Figma and strong Adobe Creative Suite. You can also art-direct motion and 3D convincingly.
The judgement to run several workstreams simultaneously.
A collaborative presence across marketing, product and commercial teams, and the confidence to hold a line gracefully.
Bonus points
iGaming, sportsbook, gaming or entertainment experience.
Experience scaling a design system across multiple markets or regulatory regimes.
Experience building an in-house studio from the ground up.
Your first 90 days
You'll get to know every surface the brand lives on, evolve how it shows up and improve output and process quality at every touchpoint.
For information about our benefits, please visit
https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
£61,000
—
£83,000 GBP
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: London, United Kingdom
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
The Role
As a Manager, Compliance in the Merchant Experience S&O team, you will have end-to-end responsibility for defining partner-related policies and both internal and external processes related to compliance and regulatory requirements, ensuring these are implemented as intended across commercial functions. You will lead the thinking on how we can ensure our policies and processes are delivering a positive experience for partners whilst also being delivered at the lowest possible cost-to-serve, whilst driving compliance. You will define the relevant end-to-end processes, work with functions across teams to ensure individual steps are being followed, and support the “go-to-market” with internal and external stakeholders for all changes and improvements that you make to improve the processes.
Reporting to the Director, Merchant Experience S&O, you will be part of a wider team of process experts with particular functional specialisms across the Partner's lifecycle.
Hybrid - 3 days from our London HQ.
What you’ll do
Design and own compliance processes:
Map and document every compliance-related process end to end, with clear responsibilities and hand-offs between teams. Set the success metrics that show whether each process is working for partners and running efficiently.
Drive performance:
Monitor how partner-facing processes are performing, dig into the data to spot opportunities, and build an improvement roadmap for each process with clear measures of impact.
Lead change:
Manage policy and process changes from start to finish using our go-to-market playbook. You’ll work with the GTM Content and Commercial Incentives, Learning & Development teams to make sure communications and training are fit for purpose, lead change with frontline commercial teams, and review post-launch results to course-correct quickly.
Reduce risk and leakage:
Cut revenue lost to partner suspensions for compliance reasons, build processes that keep us aligned with new and existing legislation, and keep policies up to date with where the business is today.
Keep partners informed:
Maintain clear, current partner-facing documentation and communications on how our processes and sign-up policies work.
About you
You’re a strong project and change manager who is comfortable juggling several complex projects across markets and functions. You also bring:
Process design skills:
You can map end-to-end processes, spot inefficiencies, propose solutions and build the case for change.
Strategic problem-solving:
You frame complex issues clearly, weigh trade-offs, recommend solutions and anticipate risks.
Influence and communication:
You simplify complex ideas, listen well, present with confidence and collaborate across teams.
Team spirit:
You work well cross-functionally, resolve misalignment between teams, build community and enjoy coaching more junior colleagues.
Why Join Us?
At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧
Make a visible impact every day
Your work directly improves experiences for customers, partners and riders.
🌱
Learn fast in an entrepreneurial environment
Work close to the market with autonomy, pace and real responsibility.
🧠
Build a career, not just a role
Stretch yourself, develop new skills and grow as the business evolves.
🌎
Deliver together in an inclusive culture
Collaborative, values-driven teams that support how you work best.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire
here
.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
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If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
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Location: PL
Workplace: remote
Overview:
SOFTSWISS is hiring an Operational Product Manager to join our Platform Product Team. In this role, you will help ensure effective collaboration within the product team, optimize operational processes, and support smooth communication across teams and stakeholders. We are looking for someone who is a proactive and organized product professional with a solid understanding of technology and product development processes.
About Product:
Casino Platform:
The SOFTSWISS Casino Platform is the core infrastructure operators rely on to launch, manage, and scale their online casino businesses.
You’ll contribute to mission-critical systems covering account management, game operations, responsible gaming, and regulatory compliance, in an environment where reliability, scalability, and business impact matter, working with people who build solutions operators depend on.
Purpose of the role:
You will play an important role in improving team efficiency, facilitating productive discussions, and contributing to the continuous improvement and evolution of the platform product. This position offers an opportunity to work closely with the product team, identify areas for improvement, and influence product-related decisions, processes, and ways of working.
Key responsibilities:
Support the Product Team in organizing and coordinating day-to-day operational activities
Identify opportunities to improve product-related processes, workflows, and ways of working
Contribute ideas and recommendations aimed at improving the product, user experience, and internal product operations
Work closely with product stakeholders to identify inefficiencies, pain points, and opportunities for product improvement
Coordinate cross-functional communication between Product, Engineering, Operations, and other relevant teams
Organize, prepare, and facilitate regular meetings, workshops, and working sessions
Define meeting agendas, document key decisions, track action items, and follow up on agreed next steps
Ensure transparency and alignment across stakeholders regarding priorities, initiatives, dependencies, and deadlines
Maintain and improve internal product documentation, process guidelines, and communication materials
Support the implementation of new processes and continuous improvement initiatives within the Platform team
Participate in discussions related to product enhancements, operational challenges, and team effectiveness
Prepare summaries, reports, and updates for internal stakeholders when required
Take ownership of additional strategic and operational tasks assigned by the Head of Platform
Required Experience:
Hands-on experience in product management, product operations, or a similar product-focused role
Experience with Casino Platform or iGaming products
Solid understanding of software development processes and the product development lifecycle
Good technical knowledge and can effectively communicate with Engineering and technical teams
Understanding how product, development, and operational processes work and interact with one another
Strong organizational and time-management skills
Confidence in coordinating communication across multiple teams and stakeholders
Excellent meeting facilitation and follow-up skills
Proactive, detail-oriented, and comfortable working independently
Effectively manage multiple priorities in a dynamic environment
Strong written and verbal communication skills
Identify improvement opportunities and turn them into practical recommendations
Interest in product management, technology, and continuous improvement
Proficiency in English and Russian languages
Main Advantages
Private health insurance
Sports benefits
Comprehensive Mental Health Program
Free English lessons (online)
Local language courses
Paid time off
Maternity leave support
Referral program rewards
Upskilling, internal workshops, and participation in professional conferences and corporate events
Location: Remote; Dublin; New York; London; Boston
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About The Role
We're scaling from 1,000 → 4,000 employees across 50+ countries, and the complexity of our teams, hubs, and workflows is growing quickly. Our People Partners play a critical role in enabling leads, supporting peeps, and protecting performance and culture as we grow. As a People Partner at ElevenLabs, you'll sit at the intersection of leadership coaching, performance, and day-to-day people guidance.
You'll support Engineering and Product leaders across our international teams, getting to know their rhythms, challenges, and talent needs. Much of the role is coaching: helping leads handle feedback, performance, growth, and change well, and surfacing people issues early. You'll work as part of the wider People team, with Employee Relations and People Ops alongside you on more complex cases.
This is a high-impact role for someone who enjoys coaching, can context-switch quickly, builds trust easily, and brings clarity and calm to fast-moving environments.
YOU WILL
- Partner with Engineering and Product leaders across our international teams to support team health, performance, and talent density.
- Coach leads and managers through people challenges, including feedback, performance, conflict, growth conversations, and team change.
- Run proactive 1:1 sessions mainly with leads, and with peeps where needed, surfacing issues early.
- Contribute to organisational design work, advising on team structures, spans and layers, and capability gaps.
- Support leaders and teams through change, such as team moves and new ways of working.
- Support key People programs (performance reviews, engagement, recognition, and lead enablement) for Engineering and Product.
- Work with Employee Relations and, where required, Legal Counsel on early-stage ER issues, escalating complex cases.
- Spot patterns across teams and share them with the wider People team to shape new People initiatives.
- Work with People Ops & Compliance teams to support terminations, mobility, and local requirements in each country where needed.
REQUIREMENTS
- Experience supporting leaders and teams through people topics such as performance, coaching, growth, and team change.
- Strong coaching skills, with the confidence to guide managers through difficult conversations.
- Strong judgment and the ability to handle sensitive issues with discretion, clarity, and fairness.
- Ability to thrive in a high-velocity, ambiguous environment and make decisions with incomplete information.
- Comfortable with both partnership and hands-on execution when needed.
- Comfortable working with leaders across different timezones and cultures; experience supporting globally distributed or multi-jurisdiction teams is a strong plus.
- Experience supporting Engineering or Product teams.
LOCATION
This role is remote-first, so it can be executed from anywhere in on the East Coast USA or Europe
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Romania, Remote/Romania
Workplace: remote
About us:
Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success.
We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today.
What began as a better way to pay at checkout has grown into a financial system working the way it should have all along.
About the role:
As a Risk Analyst at Tabby, you’ll play a key role in shaping and executing credit and fraud risk strategies across our BNPL products. You’ll work with large datasets to identify trends, monitor portfolio performance, and support decision-making that balances growth and risk. This is a hands-on, cross-functional role where you’ll collaborate with data, product, finance, and commercial teams to ensure healthy portfolio metrics across multiple markets.
Key Responsibilities
Analyze credit and fraud risk performance across customer segments and products
Develop and optimize risk strategies to improve approval rates and reduce losses
Monitor key risk indicators and portfolio trends; present insights to leadership
Contribute to the design and rollout of new risk models and policies
Collaborate with cross-functional teams to support launches in new markets and verticals
Drive automation and efficiency in risk operations and reporting
Skills, Knowledge & Expertise
2–4 years of experience in credit risk, fraud analytics, or a related data-driven role
Strong analytical skills and experience with SQL, Python or similar tools
Understanding of consumer lending, BNPL, or fintech risk models
Ability to work independently and in a fast-paced, high-growth environment
Clear communication and a business-oriented mindset
Job Benefits
Fully remote work
We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
A working environment that gives you autonomy and responsibility from day one.
You should be comfortable with the idea that the quality of your work will influence the shape of your career.
Participation in the company’s employee stock options program.
Flexi Perks
:
A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!
seniorLeeds, England, United Kingdom; London, England, United Kingdom
(Multiple States), United Kingdom
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leadLeeds, England, United Kingdom; London, England, United Kingdom
London, United Kingdom; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
УдалённоmiddlePL
Remote; Dublin; New York; London; Boston; Comfortable working with leaders across different timezones and cultures; experience supporting globally distributed or multi-jurisdiction teams is a strong plus
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