Bumble Inc.

Product Manager

• Own and evolve the Trust & Safety product strategy and roadmap
• Lead initiatives across areas, including but not limited to abuse proactive and reactive detection, scam and fraud prevention, reporting, blocking, and moderation
• Partner with Engineering, Data Science, Design, Legal, and Operations to ship high-quality, scalable solutions
• Define clear success metrics balancing safety, user experience, and business impact
• Use qualitative insights, behavioral data, and experimentation to inform product decisions
• Drive cross-functional alignment on policy implementation and risk mitigation strategies
• Champion user trust, transparency, and fairness in product decisions

Senior Product Manager – Trust & Safety

Full-stack Engineer

• Design, implement, and maintain backend systems that are scalable, secure, and reliable, preferably using GCP-native services.
• Drive individual projects from inception to delivery, owning the full software development lifecycle.
• Collaborate with Product Managers and other Engineers to ship new features and improvements.
• Apply AI-based development tools and workflows to enhance productivity and code quality.
• Participate in architecture discussions and propose technical solutions that support long-term scalability.
• Support junior engineers through pairing, mentoring, and code reviews.
• Contribute to engineering standards and best practices to maintain a high-quality codebase.

Senior Software Engineer

Marketing

• Support the development and rollout of integrated marketing campaigns that drive awareness and favorability for Bumble Date
• Bring a strong Gen Z lens to campaign planning, ensuring ideas feel culturally relevant and resonate with younger audiences
• Stay ahead of emerging trends, creators, and talent — proactively pitching timely, on-brand opportunities for Bumble to show up authentically
• Support the development and ongoing management of Bumble’s creator, influencer, and celebrity roster
• Identify and track up-and-coming talent that aligns with Bumble’s brand and Gen Z audiences
• Support execution of IRL brand events, including on-the-ground coordination and experience support
• Contribute to merchandise strategy, helping ensure products are culturally relevant, desirable, and aligned with Gen Z tastes
• Support end-to-end marketing operations and project management across campaigns, ensuring timelines, deliverables, and approvals stay on track
• Manage shared team calendars and coordinate cross-functional alignment across stakeholders
• Coordinate cross-functional meetings, capturing clear notes, next steps, and ownership
• Maintain agendas and track action items for weekly agency and internal status meetings
• Help refine marketing processes and documentation to improve efficiency, clarity, and consistency
• Manage invoices end-to-end — collecting vendor details, submitting for approval, and tracking payment status
• Open and manage purchase orders (POs) to ensure accurate financial tracking and compliance
• Assist with budget tracking and reconciliation in partnership with Finance and internal stakeholders
• Support onboarding and coordination of new vendors and agency partners
• Gather and synthesize campaign performance data into clear weekly and monthly insights and recommendations
• Leverage AI tools to support research, reporting, and creative ideation while applying strong judgment and data responsibility
• Maintain ongoing category and competitive intelligence, identifying trends, whitespace, and opportunities for Bumble

Associate Manager, Integrated Marketing

Growth Marketing

• Define how brand translates into performance channels (UA, ASO, SEO, CRM, paid social)
• Ensure consistency of voice, tone, and visual identity across all touchpoints—without sacrificing performance
• Build creative systems that allow brand to scale across high-volume testing environments
• Set and maintain a high bar for both storytelling and conversion-driven creative
• Lead development of insight-driven concepts rooted in audience behavior, platform nuance, and performance data
• Own copy excellence across all surfaces (ads, app store, landing pages, CRM, organic/social)
• Establish repeatable frameworks for messaging, hooks, and narratives that can scale globally
• Act as final approver on key creative output
• Translate growth goals into channel-specific creative strategies and testing roadmaps
• Partner with UA and analytics to identify performance drivers, gaps, and optimization opportunities
• Build scalable testing systems across formats, audiences, and markets
• Ensure creative is continuously iterated based on real performance data
• Oversee the full lifecycle of creative production: briefing, concepting, creator sourcing, production, post, and delivery
• Manage high-volume output across paid and owned channels
• Own agency and creator relationships where applicable
• Step in hands-on when needed (copywriting, scripting, creative problem-solving)
• Own intake, prioritization, and resourcing across brand and performance requests
• Build systems for capacity planning, sprint management, and workflow visibility
• Identify and implement process improvements, tooling, and AI integrations to increase efficiency
• Ensure the team can operate at scale without burnout or bottlenecks
• Manage and develop a team across copy, design, production, and creative ops
• Create a high-performance culture focused on speed, accountability, and quality
• Provide clear direction, feedback, and growth paths for team members
• Balance hands-on support with strategic leadership
• Serve as the primary creative partner to Growth, PMM, Brand, and Lifecycle teams
• Intake and refine briefs, ensuring clarity and strategic alignment
• Triage work based on impact, urgency, and resource availability
• Communicate trade-offs and priorities clearly to stakeholders
• Present creative strategy, performance insights, and brand direction to senior leadership
• Translate creative output into business impact and growth outcomes
• Build trust in creative as a structured, scalable growth driver

Director, Growth Creative

Machine Learning Engineer

• Lead the design and delivery of end-to-end ML systems powering recommendations, ranking, and personalization, driving measurable improvements in user outcomes
• Architect and optimise ML pipelines, integrating data processing, model training, evaluation, and deployment into scalable systems (e.g. Spark, Airflow)
• Build and deploy advanced models using modern frameworks (e.g. PyTorch), ensuring robustness in high-scale production environments
• Develop and apply LLM-based capabilities, including prompt design and fine-tuning approaches for production use cases
• Drive experimentation strategy, including A/B testing and offline evaluation, to continuously improve performance and inform product decisions
• Partner cross-functionally with Product, Engineering, and Data teams, collaborating with purpose to translate business challenges into ML solutions
• Mentor and support other engineers, fostering a culture of Curiosity, ownership, and continuous improvement

Lead Machine Learning Engineer

• Design, implement, and maintain backend systems that are scalable, secure, and reliable, using AWS-native services.
• Drive individual projects from inception to delivery, owning the full software development lifecycle.
• Collaborate with Product Managers, Designers, and other Engineers to ship new features and improvements.
• Apply AI-based development tools and workflows to enhance productivity and code quality.
• Participate in architecture discussions and propose technical solutions that support long-term scalability.
• Support junior engineers through pairing, mentoring, and code reviews.
• Contribute to engineering standards and best practices to maintain a high-quality codebase.

Lead Software Engineer

Artificial Intelligence

• Conduct regular QA reviews of AI agent conversations
• Report quality issues through established reporting workflows
• Collaborate closely with the Quality Manager
• Resolve recurring quality issues with the Quality Manager
• Identify and share learnings to improve AI accuracy and efficiency
• Support ongoing calibration sessions and track performance improvements
• Operate CX QA tools and systems to monitor quality data
• Embrace and apply AI tools confidently in daily work

Operations Specialist, AI Enablement

Compliance

• Resolve complex member requests related to account access, identity updates, and data rights, ensuring compliance with global privacy regulations such as GDPR and other regional frameworks.
• Assess identity verification and account integrity concerns using established decision trees and standard operating procedures, taking ownership of cases from intake through resolution.
• Use case management systems and AI-supported tools to triage, investigate, and document cases efficiently while maintaining accuracy and audit-ready records.
• Identify high-risk, ambiguous, or sensitive cases and escalate appropriately using defined risk frameworks, demonstrating Courage and sound judgment.
• Maintain service level agreements (SLAs) while balancing empathy and policy adherence to protect both members and the business.
• Contribute to quality improvement by incorporating feedback from audits and coaching, reducing rework and strengthening first-time-right resolution.
• Surface trends, recurring issues, or potential policy gaps to Supervisors, helping the team see things through from insight to impact.
• Collaborate cross-functionally with Trust & Safety, Legal, and Operations partners, taking ownership of outcomes and adapting with an agile mindset as policies evolve.

Privacy and Data Compliance Specialist

• Define and drive the long-term product vision and strategy for Matching & Recommendations, aligning with company-wide goals and delivering measurable impact on engagement, quality of matches, and user trust
• Lead the development of scalable recommendation systems, including ranking algorithms, personalisation models, and relevance optimisation
• Partner closely with Data Science and Engineering to design, ship, and iterate on machine learning-powered features, embedding AI into core product experiences in a thoughtful and responsible way
• Own experimentation strategy end-to-end, including hypothesis development, A/B testing at scale, and translating insights into product decisions
• Use data fluently to identify opportunities, define success metrics (e.g. match quality, retention, conversion), and guide prioritisation across complex problem spaces
• Collaborate cross-functionally with Trust & Safety to ensure recommendations are safe, inclusive, and aligned with Bumble’s values of Respect and Excellence
• Take ownership of delivery across multiple teams, working collaboratively and adapting plans with an agile mindset to drive outcomes in a fast-moving environment
• Influence senior stakeholders and align cross-functional teams around a shared vision, seeing initiatives through from insight to impact

Principal Product Manager, Matching & Recommendations

• Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety
• Design, develop, and deploy production-grade models using modern ML frameworks such as PyTorch , ensuring scalability and reliability in high-traffic environments
• Build and deploy production AI Agents using raw and fine-tuned foundational Large Language Models (LLMs), along with sub-agents, tools, and MCP integrations
• Architect end-to-end ML pipelines, integrating data processing (e.g. Spark, Airflow) with model training, evaluation, and deployment workflows
• Drive experimentation frameworks, including A/B testing and offline evaluation, to continuously improve model performance and product outcomes
• Partner cross-functionally with Product, Engineering, and Data leadership to translate business challenges into impactful ML solutions, collaborating with purpose and influencing at senior levels
• Mentor and elevate senior individual contributors, fostering a culture of Excellence, Curiosity, and continuous learning across the ML community
• Take ownership of complex, ambiguous problem spaces, seeing initiatives through from insight to impact while adapting approaches with an agile mindset
• Champion responsible AI practices, ensuring fairness, transparency, and user safety are embedded into all machine learning systems

Principal Machine Learning Engineer

Operations

• Own end-to-end ad operations across direct campaigns, ensuring accurate trafficking, implementation, QA, and on-time delivery with consistently strong execution.
• Troubleshoot technical issues related to delivery, creative rendering, ad tags, measurement discrepancies, and platform integrations.
• Partner closely with Growth, Sales/Partnerships, Marketing, Analytics, and Product to translate campaign goals into clean operational plans and take ownership from setup through reporting.
• Run pacing, creative rotations, and flight management for direct campaigns; proactively spot issues and resolve them before they impact performance or partner trust.
• Support and maintain programmatic partner relationships, helping troubleshoot delivery issues and ensure proper setup and performance.
• Analyze programmatic performance and drive indirect demand optimizations to improve yield and inventory utilization.
• Maintain and improve ad tech platform operations (e.g., ad server workflows, naming conventions, inventory/creative specs, troubleshooting, and documentation).
• Deliver clear, client-facing performance reports, translating campaign data into actionable insights for internal stakeholders and advertising partners.
• Own end of campaign reporting, including delivery summaries, performance insights, KPI commentary, and recommendations for future activation.

Advertising Operations Specialist

• Act as the senior owner of performance marketing, including:
• Paid acquisition (UA)
• CRM / lifecycle
• ASO
• SEO
• Set performance marketing strategy aligned to quarterly and annual plans
• Own executional outcomes across channels, with clear accountability for:
• Registrations for acquisition channels (UA, ASO, SEO)
• Revenue for lifecycle / CRM
• Ensure all channels are managed against performance vs plan, with clear pacing, risks, and corrective actions
• Make trade-offs across channels, markets, audiences, and optimisation metrics to balance scale, efficiency, and quality
• Ensure lifecycle marketing is treated as a core performance channel by:
• Owning the marketing-led portion of the end-to-end member journey
• Setting lifecycle revenue targets and priorities
• Driving effective use of Braze capabilities to improve engagement and revenue
• Partner closely with Finance on forecasting, pacing, and performance management
• Ensure performance channels operate as a coordinated system, not independent silos
• Own the end-to-end marketing measurement and analytics strategy
• Build a unified, scalable measurement system that:
• Enables channel-by-channel impact measurement
• Focuses on incrementality and causal impact on business metrics
• Supports consistent plan vs actual performance management
• Oversee development of:
• Clear metric definitions and dashboards
• Quality and activation metrics
• Experimentation and learning frameworks
• Lead the engagement of MMM as a foundational measurement input, with the ambition that it meaningfully informs investment and optimisation decisions over time
• Design and run performance marketing operating rhythms, including:
• Marketing Performance Reviews
• Quarterly planning and forecasting cycles
• Establish clear decision forums, ownership, and escalation paths
• Improve speed, clarity, and accountability in performance decision-making
• Act as the primary interface between Performance Marketing, Analytics, and Finance
• Ensure performance issues are surfaced early and addressed decisively
• Lead and develop current team across performance marketing and analytics
• Set clear expectations around ownership, accountability, and performance standards
• Shape team structure and capability needs over time
• Identify and address capability gaps, particularly in measurement and analytics
• Build a culture focused on:
• Clear ownership and accountability
• Evidence-based decision-making
• Learning through testing and iteration
• Provide clarity and stability for teams operating in fast-moving, performance-driven environments

Senior Director, Marketing Measurement & Growth

Product Designer

• Translate user insights into design opportunities
• Design flows and UI for web/mobile experiences
• Partner with Product and Engineering teams
• Support lightweight discovery work (usability testing, research)
• Prototype interaction patterns and iterate quickly
• Use AI tools to synthesize feedback and explore design directions
• Maintain consistency in design system and uphold accessibility practices
• Participate in critiques and team rituals

Product Designer – New Grad

• Support the planning and execution of integrated marketing campaigns
• Assist with in-real-life activations led by the city ambassador team
• Contribute to social strategy, engaging with the audience across social channels
• Support coordination and tracking of creator and partnership deliverables
• Maintain agendas, track next steps, and support agency accountability
• Assist with operational processes including maintaining budget trackers
• Conduct market and audience research
• Use AI tools responsibly to support research and improve workflow

Summer Marketing Intern

• Support the development and rollout of integrated marketing campaigns that drive awareness and favorability for Bumble Date
• Assist with execution of IRL brand events — including event logistics, coordination, on-the-ground talent engagement and content capture
• Contribute to social media planning, helping ensure content aligns with audience insights, platform trends, and brand standards
• Support coordination of creator and ambassador deliverables, including tracking timelines and monitoring social performance
• Maintain agendas and document next steps for weekly agency status meetings, helping ensure accountability and smooth project coordination
• Assist with operational processes such as maintaining budget trackers, processing purchase orders, and tracking contracts
• Gather and summarize campaign performance data for weekly and monthly reports, translating insights into clear takeaways
• Leverage AI tools to support research, reporting, creative drafting, and workflow optimisation while applying thoughtful judgement and data responsibility