About the Role

Are you a passionate, energetic technologist who thrives in fast-paced environments and enjoys working across evolving technology stacks? Do you enjoy debugging complex systems, solving real business problems, and obsessing over the details that make systems reliable and scalable?

We’re looking for a SDE III to join the 3PIP Integrations and Inventory System team.

You will help design, build, and operate systems that sits between Groupon and 3rd party partners, along with our internal inventory management systems.

We are an AI driven organisation and highly promotes usage of AI agentic workflows to drive rapid growth and optimizations.

Our Technology Landscape (Today & Tomorrow)

Our platform is evolving, and we want engineers who are excited to grow with it.

Current Stack

• Backend services primarily in Java
• Cloud infrastructure on GCP/AWS
• Relational databases: MySQL, PostgreSQL
• REST / JSON APIs
• CI / CD - Jenkins
• Message brokers
• Docker, Kubernetes
• GitHub,
• JIRA,
• ELK

Future Direction

• (Key Focus) Moving towards Encore( TypeScript-first backend services)
• Building on GCP with Encore as a core development framework Emphasis on modern cloud-native architecture, service ownership, and developer productivity
• While experience with Java and AWS is important today, every new engineer should be excited about—and willing to actively contribute to—our transition toward a TypeScript and GCP-based ecosystem.

What You’ll Do:

• Design and develop services within Groupon’s microservices ecosystem Work on highly scalable e-commerce systems involving inventory, fulfillment, and 3rd party integrations.
• Collaborate with cross-functional teams to deliver business features and ensure compliance requirements are met
• Build service artifacts, plan deployments, and coordinate timelines with project and partner teams
• Improve system reliability by defining service-level metrics, setting alerting thresholds, and automating responses
• Create and maintain clear technical documentation
• Mentor junior engineers and support their technical growth
• Drive technical discussions and influence architectural decisions within the team

We’re Excited About You If You Have:

• BE/BTech or ME/MTech in Computer Science, Software Engineering, or a related field
• 6+ years of industry experience building and operating production systems Strong coding skills in Java , with openness to learning TypeScript
• Solid computer science fundamentals (Design Patterns, Data Structures & Algorithms, Operating Systems , DBMS)
• Experience with relational databases such as MySQL or PostgreSQL
• Exposure to NoSQL databases is a plus
• Exposure to AI tools like claude code, cursor are highly preferred.
• Experience developing and supporting web applications in transactional environments
• Strong debugging and troubleshooting skills
• Good communication and collaboration skills across technical and non-technical stakeholders
• Interest or experience in cloud platforms (AWS today, GCP tomorrow) is highly valued

We Value Engineers Who Are:

• Customer-focused – You understand that customer impact drives everything we build
• Obsessed with Quality – Your production code is reliable, scalable, and maintainable
• Team player – You collaborate, listen, and give constructive feedback
• Fast learners – You enjoy learning new technologies and applying them quickly
• Pragmatic – You balance speed and quality, knowing when trade-offs make sense
• Owners – You take responsibility for outcomes and actively contribute to business success

About Groupon:

Groupon is a marketplace where millions of customers discover new experiences every day—and where local businesses grow through performance-based marketing. We’ve partnered with more than a million merchants globally, connecting 16+ million customers with offers across experiences, services, and more.

We’re in the middle of a transformation focused on speed, innovation, and operational excellence. We operate at a global scale but maintain a culture where individuals can make an immediate impact. If you thrive in an environment that combines autonomy, ownership, and real results, Groupon is the place to grow your career.

About the Role:

The Enterprise Business Development Manager is responsible for acquiring and closing new Enterprise-level partners across nationwide and multi-market/multi-location groups within the Home & Auto category. You will promote Groupon’s value as a marketing and customer acquisition platform and negotiate strategic, high-impact deals that drive meaningful results for merchants and subscribers.

You’ll operate within our enterprise sales process while having the autonomy to determine how best to develop your pipeline, engage targeted accounts, and structure profitable partnerships. You will partner closely with the broader Enterprise Sales and Merchant Development teams to ensure each deal is operationalized successfully.

If you are a consultative seller who knows how to open doors, navigate complex organizations, and build compelling commercial offers—this role is for you.

What You'll Accomplish:

Enterprise Acquisition & Deal Closing

• Develop and close new national and multi-market Enterprise opportunities using your network, outbound outreach, research, and inbound pipeline.
• Re-engage Enterprise merchants that are lapsed or have not recently featured on the platform.
• Lead high-quality prospecting into targeted, high-value accounts using a consultative, solution-led approach.
• Own the full sales cycle from identification → outreach → pitch → negotiation → deal close.

Consultative Selling & Deal Structuring

• Understand each merchant’s business model, target audience, competitive landscape, and revenue drivers.
• Craft compelling, data-backed offer structures aligned with merchant and Groupon objectives.
• Negotiate complex commercial parameters (margin, caps, pricing, unit economics, operational terms) within guidelines.

Cross-Functional Collaboration

• Work closely with Merchant Development to ensure a smooth transition post-close and alignment on long-term merchant strategy.
• Partner with internal stakeholders to ensure offers are executable and optimized for performance.

Operational Excellence

• Maintain accurate pipeline activity and adhere to sales processes and CRM expectations.
• Handle multiple concurrent deals with strong prioritization and organizational discipline.
• Communicate with clarity both internally and externally, including preparing pitch materials and presenting in one-on-one or small-group settings.

Work Environment Expectations

• Use the phone for outreach up to 6 hours per day.
• Regularly send emails and work at a desk for extended periods.
• Operate effectively in an open, collaborative office environment.

What We’re Looking For:

Required

• Bachelor’s degree in Business, Sales, Marketing, or related field.
• 2+ years of Enterprise-level sales experience (Home & Auto industries strongly preferred).
• Demonstrated success exceeding revenue and GP targets in new business roles.
• Strong consultative selling skills with the ability to navigate complex commercial conversations.
• Proven ability to negotiate sophisticated deal structures.
• Experience selling in fast-paced, high-velocity sales environments.
• Familiarity with digital marketing or online acquisition strategies.

Preferred

• Experience selling into nationwide or multi-location Enterprise accounts.
• Understanding of subscription, voucher, performance-based, or marketplace business models.
• Strong track record of high close rates, particularly on TMC (Tiered Merchant Contracts).

Why You’ll Love It Here:

• Total Compensation: Up to $300,000 (base + performance incentives)
  • Base Salary: $130k - $170k+
• Hybrid work model (3 days/week in Chicago office)
  • Alternate locations: Can be remote for the right fit
• Full benefits package including Medical, Dental, Vision, EAP, 401(k) Match, ESPP, Life & Disability Insurance, FSAs, and more
• Real impact on a high-visibility category
• Autonomy, ownership, and a chance to influence how major national brands show up on Groupon

#LI-Hybrid

About the Role

🤖 Power Groupon’s Next Chapter with AI-Driven Innovation

Are you a hands-on technical leader ready to shape the next generation of B2B platforms? Join Groupon at a pivotal moment as we transform our business with an aggressive AI-first strategy and modern technology stack. As our new Backend  Engineer for Deal Management, you will drive the architecture, development, and impact of systems that empower local businesses worldwide—right from the ground up.

Key Responsibilities:

• Deliver complex technical initiatives independently within high-availability, mission-critical systems.
• Lead technical reviews and contribute to architectural decisions, specifically driving TypeScript/Node.js migrations.
• Champion AI-assisted development by using tools like Cursor and Claude hands-on; mentor teammates on effective practices and prompt engineering.
• Communicate technical trade-offs clearly to both technical and non-technical stakeholders to ensure alignment on roadmap priorities.
• Own operational excellence by maintaining and improving SLOs, observability, and comprehensive documentation for your areas of ownership.

Key Requirements:

• 6+ years of software engineering experience with deep proficiency in production-grade TypeScript, Node.js
• Distributed systems expertise in high-traffic environments, including API design, monitoring, and advanced debugging.
• AI-Native workflow: Hands-on experience integrating AI coding tools (e.g., Cursor, Claude) into your daily development cycle.
• Strong communication skills and a proven ability to drive cross-functional collaboration.
• Set engineering quality bars by driving best practices around code reviews, testing strategy, security, and performance, ensuring long-term maintainability and scalability of the platform.

Nice to Have:

• Experience scaling E-commerce or marketplace platforms.
• A background in Java to support modernization and refactoring projects will be considered.
• Open source contributions or practical experience with AI/ML integration.
• Experience owning systems end-to-end, including design, development, rollout, and post-production support in fast-moving environments.
• Strong fundamentals in data modeling, system performance optimization, and resilience patterns.
• Prior experience influencing technical direction beyond your immediate team (RFCs, design docs, tech talks, or migration leadership).

What Success Looks Like:

• Independence: Delivering high-quality, well-tested features with minimal guidance.
• Architectural Impact: Active participation in design reviews that tangibly improve team-wide technical solutions.
• Mentorship: Effective coaching of junior engineers with a measurable impact on their technical growth.
• Risk Management: Maintaining clear documentation and proactively identifying risks before they impact the platform.

We Are Interested In:

Engineers who take full technical ownership, embrace AI tooling in their daily work, and deliver reliable systems while growing their impact across the team. We seek a candidate who can balance high-stakes stability with the speed of modern transformation.

Groupon is mid-transformation. Seven parallel streams. Real targets: contact deflection, resolution rates, repurchase. The streams are moving - but each one needs a single accountable person who can both diagnose the problem and ship the fix. That's this role. You won't be coordinating. You won't be waiting for an analyst or speccing things out for an engineer. You'll pull the data yourself, write the prompt yourself, build the dashboard yourself, and hold people accountable without having authority over them. If it's blocking you, you do it.

Who you'll work with

You'll report to Maguelonne, Director of Operational Transformation. Your closest partners will be teams across Customer Service, Merchant Operations, Product, Engineering, Supply, and Content  with key stakeholders based in Madrid and Prague.

What you'll be doing

• Owning transformation streams end-to-end - defining the problem from raw data, building the delivery plan, assigning owners, setting milestones, and tracking progress in dashboards you build yourself
• Building AI workflows from scratch - writing prompts, running evals, validating output against real cases, improving and scaling
• Pulling and interrogating your own data - building your own reports and business cases without waiting for support
• Holding cross-functional teams accountable - naming blockers early, escalating fast, and not letting "we don't own that" become an excuse for slow delivery
• Finding creative fixes - many people here will say "we tried that before." Your job is to zoom out, find the quick win, and simplify what others have overcomplicated
• Surfacing risks before they become problems - keeping stakeholders aligned without over-meeting

What success looks like

At 30 days: You've personally pulled and analysed the data on your stream. You've shipped at least one small automation or prompt-driven workflow. You know the landscape — the streams, the blockers, the key players.

At 60 days: You own at least one stream with a clear delivery plan. You've prototyped one AI workflow running on real data. Stakeholders come to you when things are stuck.

At 6 months: Contact deflection rate is improving on your stream. At least one AI workflow is in production and being used daily. Your manager doesn't have to chase status — you surface risks before they become issues.

What this role demands

You can demonstrably:

• Ship a production-grade LLM workflow end-to-end - prompt design, tool use, evaluation, edge case handling. A Zapier flow doesn't count.
• Identify an operational problem, form a view on how to fix it, and execute without being pushed
• Hold cross-functional stakeholders to commitments without authority over them — and find structural levers when persuasion alone doesn't work
• Navigate ambiguity and create structure where none exists, while knowing when a decision needs escalation and when it just needs to be made
• Re-plan without drama when priorities shift and not lose the thread of what matters

What we are looking for

• 2-4 years in operations, program management, or strategy & ops roles where you personally shipped - not just managed others who shipped
• At least one production LLM workflow built and running end-to-end
• Comfortable pulling, interrogating, and presenting data without support
• Assertive communicator who names blockers and drives resolution
• Fluent English, based in Madrid or Prague

Nice to have

• Experience at a fast-paced tech or marketplace company
• Familiarity with Customer Service or Merchant Operations contexts
• Active follower of the AI/LLM space - you've tried the tools yourself and have an opinion on which to use when

The hiring process

• TA screen with your recruiter (30 min)
• Hiring manager interview (45 min)
• Case study (3-5 days to complete)
• Case study presentation (45 min) - you walk us through your approach, findings, and recommendations, followed by Q&A

The transformation agenda is real, the exec visibility is high, and the scope is broader than most roles you'll find at larger companies. If you want to move fast, ship AI into production, and be the person who actually unblocks things - apply.

Groupon is looking for a Director of Strategic Finance to become the financial architect of our Demand Engine. This role reports directly to the CFO and partners closely with our CMO. Your job is simple to say - and hard to do: Turn marketing spend into provable, incremental growth. If you believe finance should help the business decide what to scale, what to stop, and why, this role was built for you.

🚀 Why this role exists

We are moving beyond last-click attribution, blended CAC, and static reporting.

Marketing and Product need:

• Clear visibility into incremental impact

• Confidence in cohort quality and unit economics

• Fast, defensible decisions on where to invest tens of millions - and where not to

You will build the financial truth that makes this possible.

🙌 What you will own

Build the Demand Truth Model

• Create an integrated demand model linking customer segments, channels, surfaces, and P&L

• Establish a clear New vs Returning customer lens across major cohorts

• Own demand-side planning with bottom-up assumptions tied to acquisition and retention

Move ROI from attribution to incrementality

• Define marginal ROI frameworks and channel hurdle rates

• Set testing and incrementality standards using holdouts and experiments

• Drive real budget reallocations based on evidence, not averages

Own customer and unit economics

• Standardize cohort-level LTV and CAC by channel, category, geography, and customer type

• Shift the narrative from cost per transaction to lifetime contribution margin

Build contribution margin views that drive decisions

• Deliver category- and geo-level contribution margin visibility

• Classify the portfolio into Invest / Maintain / Fix or Exit

• Partner with Pricing and Promotions to separate incremental demand from subsidized behavior

Run the demand-side operating cadence

• Act as finance owner for unified revenue monitoring

• Lead the financial narrative in Weekly and Monthly Business Reviews

• Turn signals into decisions within 24 hours

🧠 How you think and operate

• You care about causality over correlation

• You don’t just analyze data — you build systems and playbooks others can run

• You are a trusted sparring partner to CMOs and growth leaders

• You are comfortable saying “stop” as confidently as “scale”

• When trends break, you land with a clear so what and now what

• You work AI-first, using AI as a daily accelerant for analysis, modeling, and documentation

💪 What you bring

• Senior experience in Strategic Finance, Growth Finance, or Marketing Finance

• Background in marketplace, ecommerce, or high-volume B2C

• Hands-on exposure to attribution and incrementality testing

• Strong data fluency and partnership with BI and Data Science

• Proven ability to influence executive-level decisions

• Track record of improving contribution margin through capital allocation

💚 Why Groupon

• High-leverage impact - your work directly shapes where the business invests

• Build from scratch - define the demand finance system end to end

• Executive exposure - CFO, CMO, CEO-level decisions

• Real marketplace complexity - no vanity metrics

• AI-native opportunity - help define the future of finance, not maintain the past

If you want to build the system that replaces opinions with evidence, this is your role.

Groupon is looking for a Director of Strategic Finance to become the financial architect of our Demand Engine. This role reports directly to the CFO and partners closely with our CMO. Your job is simple to say - and hard to do: Turn marketing spend into provable, incremental growth. If you believe finance should help the business decide what to scale, what to stop, and why, this role was built for you.

🚀 Why this role exists

We are moving beyond last-click attribution, blended CAC, and static reporting.

Marketing and Product need:

• Clear visibility into incremental impact

• Confidence in cohort quality and unit economics

• Fast, defensible decisions on where to invest tens of millions - and where not to

You will build the financial truth that makes this possible.

🙌 What you will own

Build the Demand Truth Model

• Create an integrated demand model linking customer segments, channels, surfaces, and P&L

• Establish a clear New vs Returning customer lens across major cohorts

• Own demand-side planning with bottom-up assumptions tied to acquisition and retention

Move ROI from attribution to incrementality

• Define marginal ROI frameworks and channel hurdle rates

• Set testing and incrementality standards using holdouts and experiments

• Drive real budget reallocations based on evidence, not averages

Own customer and unit economics

• Standardize cohort-level LTV and CAC by channel, category, geography, and customer type

• Shift the narrative from cost per transaction to lifetime contribution margin

Build contribution margin views that drive decisions

• Deliver category- and geo-level contribution margin visibility

• Classify the portfolio into Invest / Maintain / Fix or Exit

• Partner with Pricing and Promotions to separate incremental demand from subsidized behavior

Run the demand-side operating cadence

• Act as finance owner for unified revenue monitoring

• Lead the financial narrative in Weekly and Monthly Business Reviews

• Turn signals into decisions within 24 hours

🧠 How you think and operate

• You care about causality over correlation

• You don’t just analyze data — you build systems and playbooks others can run

• You are a trusted sparring partner to CMOs and growth leaders

• You are comfortable saying “stop” as confidently as “scale”

• When trends break, you land with a clear so what and now what

• You work AI-first, using AI as a daily accelerant for analysis, modeling, and documentation

💪 What you bring

• Senior experience in Strategic Finance, Growth Finance, or Marketing Finance

• Background in marketplace, ecommerce, or high-volume B2C

• Hands-on exposure to attribution and incrementality testing

• Strong data fluency and partnership with BI and Data Science

• Proven ability to influence executive-level decisions

• Track record of improving contribution margin through capital allocation

💚 Why Groupon

• High-leverage impact - your work directly shapes where the business invests

• Build from scratch - define the demand finance system end to end

• Executive exposure - CFO, CMO, CEO-level decisions

• Real marketplace complexity - no vanity metrics

• AI-native opportunity - help define the future of finance, not maintain the past

If you want to build the system that replaces opinions with evidence, this is your role.

📍 Czech Republic – hybrid role (2 days per week in our Prague office)

Groupon is looking for a Director of Strategic Finance to become the financial architect of our Demand Engine. This role reports directly to the CFO and partners closely with our CMO. Your job is simple to say - and hard to do: Turn marketing spend into provable, incremental growth. If you believe finance should help the business decide what to scale, what to stop, and why, this role was built for you.

🚀 Why this role exists

We are moving beyond last-click attribution, blended CAC, and static reporting.

Marketing and Product need:

• Clear visibility into incremental impact

• Confidence in cohort quality and unit economics

• Fast, defensible decisions on where to invest tens of millions - and where not to

You will build the financial truth that makes this possible.

🙌 What you will own

Build the Demand Truth Model

• Create an integrated demand model linking customer segments, channels, surfaces, and P&L

• Establish a clear New vs Returning customer lens across major cohorts

• Own demand-side planning with bottom-up assumptions tied to acquisition and retention

Move ROI from attribution to incrementality

• Define marginal ROI frameworks and channel hurdle rates

• Set testing and incrementality standards using holdouts and experiments

• Drive real budget reallocations based on evidence, not averages

Own customer and unit economics

• Standardize cohort-level LTV and CAC by channel, category, geography, and customer type

• Shift the narrative from cost per transaction to lifetime contribution margin

Build contribution margin views that drive decisions

• Deliver category- and geo-level contribution margin visibility

• Classify the portfolio into Invest / Maintain / Fix or Exit

• Partner with Pricing and Promotions to separate incremental demand from subsidized behavior

Run the demand-side operating cadence

• Act as finance owner for unified revenue monitoring

• Lead the financial narrative in Weekly and Monthly Business Reviews

• Turn signals into decisions within 24 hours

🧠 How you think and operate

• You care about causality over correlation

• You don’t just analyze data — you build systems and playbooks others can run

• You are a trusted sparring partner to CMOs and growth leaders

• You are comfortable saying “stop” as confidently as “scale”

• When trends break, you land with a clear so what and now what

• You work AI-first, using AI as a daily accelerant for analysis, modeling, and documentation

💪 What you bring

• Senior experience in Strategic Finance, Growth Finance, or Marketing Finance

• Background in marketplace, ecommerce, or high-volume B2C

• Hands-on exposure to attribution and incrementality testing

• Strong data fluency and partnership with BI and Data Science

• Proven ability to influence executive-level decisions

• Track record of improving contribution margin through capital allocation

💚 Why Groupon

• High-leverage impact - your work directly shapes where the business invests

• Build from scratch - define the demand finance system end to end

• Executive exposure - CFO, CMO, CEO-level decisions

• Real marketplace complexity - no vanity metrics

• AI-native opportunity - help define the future of finance, not maintain the past

If you want to build the system that replaces opinions with evidence, this is your role.

About the Role
You'll own the entire post-purchase journey—from voucher delivery to redemption and repeat engagement. Your job is to make our customers want to come back, while keeping the economics sound and the operations simple. You'll use data, experiments, and AI to reduce friction, increase trust, and drive measurable growth in repeat behavior.

Key Responsibilities

• Own the post-purchase customer journey end-to-end—optimizing for repeat engagement, redemption success, and commercial sustainability.
• Define, track, and move the metrics that matter: repeat purchase rate, LTV, redemption success, refund cost, gifting activation, and time-to-next-buy.
• Use data and behavior signals—not hunches—to spot and fix friction.
• Design and ship A/B tests with clear hypotheses and success thresholds.
• Own instrumentation quality. Ensure tracking works before you ship.
• Build and validate AI-driven features that improve redemption clarity, reduce refunds, personalize comms, and rebuild trust.
• Ship scalable improvements—not one-off patches.
• Keep web and mobile aligned. The journey should feel like one system, not two.

Key Requirements

• 6+ years in Product Management (consumer tech, marketplace, or e-commerce).
• Proven track record improving retention, monetization, or trust metrics.
• Solid hands-on experience with A/B testing, funnel optimization, and cohort analysis.
• You've shipped AI or automation features into production.
• Strong grasp of revenue, margin, and LTV economics.
• You thrive in ambiguity but stay structured and disciplined in how you prioritize.
• High ownership. Clear communication. Bias toward shipping and measuring impact.

Nice to Have

• You've reduced refund losses in a digital product.
• Experience building mobile-first consumer products.
• Comfortable working closely with backend engineers and data pipelines.
• You've improved lifecycle email/notification systems.
• Marketplace experience in North America or Europe.

What Success Looks Like

• Metrics are instrumented correctly and trusted across teams.
• Repeat purchase rate improves—and stays improved.
• Refund costs go down without eroding trust.
• AI features are live and moving the metrics.
• You're shipping more experiments, faster, than before.
• Operations get simpler as the journey becomes more self-serve.

We Are Interested In
We want someone who can think commercially, move fast without breaking things, and use AI as a tool—not a buzzword. You should be comfortable working across time zones, presenting to leadership, and making trade-offs between customer experience and business impact.

#LI-KH1 #LI-Hybrid

Groupon's Merchant Operations team handles over 25,000 merchant cases a week across a global operation of 120+ people. The team is being made faster and smarter - through better processes, sharper data, and AI tools that are changing how the work gets done. This role sits at the centre of that. You will own the analytical and operational agenda that makes the whole machine run better: scoping problems, building solutions, and executing on them without being managed through it. If you need a clearly defined task list and someone to check in daily, this is not the right environment.

Who you'll work with

You will report directly to the Head of Merchant Operations, who owns the strategic direction of the team. Your closest partners will be the Head of MO India, the Salesforce Product Manager, and the Merchant Center Product Manager. You will also work regularly with Commercial Operations leadership. 

What you'll be doing

• Extracting and analysing data from Salesforce, building dashboards and reports that senior leadership actually use - without relying on a data team to do it for you
• Driving process and policy changes end-to-end, from scoping through to handoff, with measurable impact on how efficiently agents handle merchant cases
• Using AI tools to improve and automate day-to-day operational workflows
• Documenting Merchant Operations standard operating procedures — most do not exist yet and will need to be built from scratch
• Aligning stakeholders across Product, Engineering, and Commercial Operations on complex, cross-functional issues

What success looks like

Day 30: You have mapped current MO operations, established key cross-functional relationships, audited existing reporting, and identified 3 to 5 high-impact areas for improvement.

Day 60: You have delivered your first analytical project with actionable recommendations and have at least one operational improvement live with measurable results.

Day 90: You are independently managing 2 to 3 projects, contributing to strategic planning discussions, and have documented at least one set of SOPs that did not exist before you arrived.

What this role demands

You can demonstrably:

• Take a messy data set from Salesforce, turn it into a clear insight, and present it to senior leadership without someone cleaning it up for you first
• Identify an operational problem, form a view on how to fix it, and execute on that view without being pushed
• Use AI tools actively - not occasionally and give concrete examples of what you have built or automated with them
• Navigate ambiguity and create structure where none exists, while knowing when a decision needs escalation and when it just needs to be made

What we are looking for

• 3 to 5 years of experience in operations, analytics, or project management
• Proven track record of independently owning and delivering complex projects
• Strong analytical skills - comfortable working with data without support
• Actively using AI tools in your daily work
• Fluent English and based in Prague

Nice to have

• Experience in a fast-paced tech or operations environment - food delivery, marketplace, or hospitality companies
• Salesforce reporting and dashboard experience
• Exposure to reducing average handling time or deflecting customer contacts

The hiring process

• TA Screen with your recruiter (30 min) 
• Hiring manager interview (30 min)
• Case study (2-3 days)
• Case study presentation (30-45 min) - you walk us through your approach, findings, and recommendations, followed by Q&A

The work is complex, the data is imperfect, and the impact is real. If that sounds like your kind of challenge, apply.

#LI-KH1  #LI-Hybrid.

About the Role

We are hiring a full-stack builder (AI-First) with a strong focus on front-end delivery for our B2C MobileNext pre-purchase and post-purchase experience. The team owns key customer journeys across homepage, browse pages, deal pages, voucher creation, receipts, and post-purchase pages. This is a hands-on role for someone who can move fast, solve problems independently, and use AI tools as part of everyday engineering work.

Key Responsibilities

• Use AI tools to accelerate coding, debugging, and problem solving without losing engineering quality.
• Build and improve customer-facing experiences
• Own features end to end, from understanding the problem to shipping and debugging in production.
• Work closely with product, design, and engineering partners to improve pre-purchase and post-purchase flows.
• Contribute to code quality, maintainability, and practical technical decisions.
• Support testing and validation, including end-to-end testing where relevant.
• Help the team move through ambiguity and delivery pressure with a calm, structured approach.

Key Requirements

• Hands-on experience with TypeScript, React, Next.js, Node.js, and GraphQL.
• Solid front-end engineering skills and comfort working in a modern JavaScript ecosystem.
• Proven ability to solve problems independently with minimal hand-holding.
• Practical AI-first mindset: uses AI tools to work faster and smarter.
• Good debugging skills and sound technical judgment.
• Clear communication and ownership in a fast-changing environment.
• Ability to work from one of the supported hubs, with regular office attendance as required.

Nice to Have

• Experience with GraphQL.
• Experience with end-to-end testing.
• Experience working on customer-facing B2C products.
• Experience improving conversion, or purchase-related journeys.
• Exposure to full-stack work beyond the front end.
• Familiarity with tools such as Claude, Cursor, Copilot, or similar AI coding assistants.

What Success Looks Like

Build and improve the experiences that customers use before and after purchase, with a strong focus on speed, quality, and AI-assisted engineering. You will help shape the web and app journeys that directly affect how customers discover deals, complete purchases, and manage their orders.

We Are Interested In 

• Candidates who like solving real product problems, not just writing code.
• People who learn quickly and can work through changing priorities.
• Engineers who are proactive, curious, and easy to trust with ownership.
• Candidates who can explain how they think, not only what they have built.

What We Offer

• Impact at scale: Help shape the experiences millions of customers use before and after purchase, with real influence on how the product evolves.
• Ownership, not just delivery: You’ll own key journeys end to end
• AI‑first environment: Full access to AI coding tools, including a Claude Max plan and other approved assistants, integrated into your everyday workflow.
• Flexible working hours and hybrid model
• Attractive bonus and benefits package
• Growth across stacks: Plenty of opportunity to stretch beyond front‑end into full‑stack, testing, and automation.
• Culture of speed and learning: A team that values data‑informed decisions, experimentation, and smart automation over pure process.

#LI-KH1  #LI-Hybrid

About the Role

📍Hybrid from Madrid or Valencia 

You will engineer the core of our proprietary internal platform that democratizes AI across the company. This is not a standard full-stack role maintaining existing systems, you will build the factory that enables other teams to create autonomous AI Agents. You will design Chain of Thought reasoning flows, integration layers, and agent logic that allow AI to execute complex business tasks at scale. This is applied AI engineering: no model fine-tuning, just sophisticated system design and relentless execution. You will join a new focused team of two engineers, collaborating daily with the AIGO team and cross-functional partners across Global Operations, Customer Satisfaction, and Engineering.

Key Responsibilities

• Develop and expand our internal AI platform, enabling internal teams to build autonomous AI Agents without deep ML expertise
• Engineer Chain of Thought reasoning flows and integration layers that power agent logic
• Build reliable, long-running AI Agent systems that handle failures at scale and prevent cascading outages when external LLM providers go down
• Design node-based tools for intent retrieval, context management, and API routing
• Program agent logic using TypeScript, Node.js, Express, React, Next.js, and SQL
• Maintain a high bar for software quality and reliability while innovating at speed
• Integrate AI-native tooling (Cursor, Claude Code) into your development workflow without sacrificing code quality

Key Requirements

• Experience with TypeScript, Node.js, Express, React, Next.js, and SQL
• Practical knowledge of Docker, Kubernetes, and Linux environments
• Hands-on experience with Chain of Thought (CoT), Agent building, and RAG concepts
• An AI-First mindset: you already use Cursor or Claude Code and possess the engineering rigor to validate AI-generated code
• Proven track record of shipping software to production

Nice to Have

• Proficiency with Cursor or Claude Code 
• Knowledge of ML theory (helpful for context, though fine-tuning is not part of the role)

What Success Looks Like

First 30 days: Set up your development environment, adopt AI-first workflows, gain a functional understanding of our internal AI platform, ship a bug fix to production, and build your first AI Agent using our platform.

First 60 days: Deep dive into a key product area’s architecture, design and implement a small-scale AI feature, and demonstrate independence in troubleshooting and shipping without hand-holding.

First 90 days: Take ownership of a significant AI feature from concept to production, contribute to internal documentation on Agent best practices, and actively participate in architectural reviews as a fully integrated team member.

One year: Transform a portion of our AI platform with a major AI-driven application feature, become recognized as a stakeholder in building and optimizing AI Agents across Groupon, and maintain a high bar for software quality while innovating at speed.

We Are Interested In

A true builder who wants to engineer the platform that powers AI Agents, not just write prompts. You bring a balance of “Old School” engineering discipline (reliability, structure) and “New Wave” AI agility. You are excited to use the latest AI-native stack to create sophisticated internal tools that drive global operations and shape how a global company operationalizes AI. 

#LI-KH1  #LI-Hybrid

About the Role

Senior Full-Stack Engineer — CoreApps Platform (AI-native, Encore)

A builder role on the team that powers Groupon's global commerce engine.

CoreApps Platform is the foundational engineering group powering Groupon's global commerce engine — every customer interaction and every transaction, worldwide. This is a builder role: you take features from problem statement to production across backend, frontend, CI/CD, and test automation, using Claude Code as your daily leverage tool. You own the whole slice. You unblock yourself. You ship.

What You'll Do

• Drive features end-to-end. Backend services, frontend surfaces, CI/CD pipelines, test coverage, deploy, monitor — the whole vertical slice. No handoffs, no "that's someone else's team."
• Ship on legacy and cutting-edge together. Modernize Java / Ruby systems into TypeScript / Node.js on Encore, while keeping services at 100K+ RPM running cleanly.
• Operate Claude Code natively. Daily agentic workflow with MCPs, skills, hooks, evaluation patterns — AI is not a productivity add-on, it's how you collapse FE + BE + DevOps + QA into a single-engineer scope.
• Cut through red tape. Find the path. Kill process that doesn't protect anything. Respect process that does. Escalate when you can't, ship when you can.
• Lift your peers. Share patterns, unblock teammates, leave the codebase cleaner than you found it.

Must Have

• 5+ years shipping production software, with deep production TypeScript / Node.js as your primary backend stack (NestJS / Fastify / Encore or similar, named and used).
• Full-stack range. You've owned features across backend and frontend, and you're comfortable in CI/CD pipelines, test automation, and production debugging. Specialist-only profiles (backend-only, frontend-only) will not fit this role.
• Claude Code native. Daily use with a demonstrable personal setup — MCPs, skills / agents, hooks, or equivalent automation. You can screen-share it. Autocomplete-only and Cursor-only do not qualify.
• Builder bias. Evidence of projects you drove beginning to end — scoped the problem, designed the approach, shipped it, operated it. No "I contributed to…" answers — we want what you built.
• Distributed systems fundamentals — API design, SLOs, structured observability, on-call ownership.
• High-bandwidth communication — written and verbal, across technical and non-technical audiences.

Nice to Have

• Java or Ruby reading fluency (for navigating the source systems being migrated).
• E-commerce / marketplace scale experience.
• Encore, Temporal, or similar workflow frameworks.
• Frontend frameworks used in anger (React, Next.js).

What Success Looks Like

First 30 days: operating in the team's AI workflow on day one — Claude Code setup running, first PR merged, owning a service.

First 90 days: shipped at least one end-to-end feature across the full stack, reduced a real bottleneck, demonstrably faster velocity than traditional backend-IC pace.

First 180 days: the team points to work only you could have driven at that pace — migration cutovers, FE + BE features shipped as single units, tooling peers now depend on.

We Are Interested In

Builders. Engineers who take scope from "this is a problem" to "this is in production" without waiting for permission. Fluent in Claude Code as the force multiplier that makes one engineer effective across backend, frontend, DevOps, and QA. Deep in TypeScript, comfortable anywhere in the stack, energized by cutting through noise and shipping. If you wait to be told what to do, this role will frustrate you.

#LI-KH1  #LI-Hybrid

Encore team scaling through shared code. We're consolidating multiple internal tools into a unified application serving the entire company—today that's siloed, fragile, and slowing us down. The right EM will ship faster, drive 30% higher code quality across the shared monorepo, and give the platform the technical leadership it needs. With this hire, we eliminate friction between teams, establish clear ownership, and turn a bottleneck into a lever.

Who you'll work with

You'll report to Ales Drabek, CTO, who owns the NextGen Architecture initiative. You'll lead a core team of 7 engineers building the Encore platform (shared libraries, infrastructure, and tooling) while coordinating closely with cross-tribe engineers who depend on it—Encore, Platform, Product Design, QA teams, and multiple product squads. This is a technical leadership role where you'll operate hands-on; we need someone who codes in production, not just manages. Direct feedback moves at the speed of shipping—we don't wait for perfect information, we iterate on what we learn.

What you'll be doing

• Owning end-to-end stability and feature velocity of a mission-critical shared monorepo serving multiple internal teams and applications
• Driving technical direction for shared libraries, microservice architecture, and release workflows so teams can ship independently without dependency hell
• Leading by example in code reviews, architecture decisions, and debugging—setting and holding the standard for code quality and maintainability
• Bridging technical execution with business outcomes—translating product needs into clean, pragmatic technical solutions that move metrics
• Growing and mentoring a small, high-performing team through hands-on 1:1s, clear ownership models, and removing blockers that slow them down
• Stabilizing incident response and SLA adherence across teams using the shared codebase

What success looks like

Day 30: You've mapped the technical landscape (dependencies, pain points, team constraints), met all key stakeholders (product, design, QA, squads), and identified the top 3 unblocking opportunities. First decision in flight: a concrete change to testing or deployment that reduces cycle time.

Day 60: You've shipped your first independent initiative—stabilized a critical SLA, simplified a deployment workflow, or shipped a shared library feature. You've made at least one architectural call that's driving the team toward cleaner code.

Day 90: Operating without hand-holding. You're holding the quality bar, making trade-off decisions autonomously, and the team is moving faster. You own a named outcome (e.g., "monorepo build times," "incident resolution time") and it's improving.

What this role demands

You can demonstrably:

• Write production TypeScript/JavaScript across frontend and backend—shipping code in a monorepo, not just reviewing it
• Lead technical decisions by weighing speed, quality, and business impact—you know when to ship fast and when to slow down for the right architecture
• Stabilize and scale systems under constraint—you've managed shared code ecosystems, monorepos, or platform infrastructure where decisions cascade to other teams
• Debug and own production issues end-to-end, even when they're not technically in your domain—you see a problem and fix it
• Coach engineers on technical depth and growth—you leave people and systems better than you found them
• AI Fluency - Claude

How we operate

Extreme Ownership: You take singular accountability for problems without being pushed. You see a broken build? You revert it or fix it. You see friction between teams? You unblock it. No hiding behind "that's someone else's responsibility."

Speed over Comfort: We ship fast and iterate. Perfection is the enemy of velocity. You'll make decisions with incomplete information, course-correct, and move on. If that stresses you out, this isn't the right fit.

Simplify to Scale: You obsess over reducing complexity. Every added layer, tool, or process needs to unblock the team. Bureaucracy is the enemy. We want the monorepo to feel like a leverage point for the whole company, not a chokepoint.

The hiring process

1. Phone screen with your recruiter (30 min) — Career trajectory, role fit, comp alignment
2. Foundry Challenge — A role-specific scenario sent after your screen
3. Hiring manager interview (60 min) — Your Foundry Challenge review, in-depth technical disucussion, dive into Operating Principles fit
4. Panel interview (60 min) — Remaining Operating Principles and hands-on technical depth assessment
5. Debrief and decision

About the Role:

Most roles at the start of a career come with an onboarding deck and a defined task list. This one does not. Groupon is rebuilding how it sells — from the ground up, with AI — and the person in this role is part of that build from day one.

The vehicle is Project Foundry: a production fleet of AI agents designed to give Groupon a parallel sales force that operates 24/7 and to make every human rep sharper the moment they step into a deal. Two layers: the first runs full sales motions autonomously — outbound, inbound triage, reactivation — so reps receive warm opportunities rather than cold lists. The second equips reps at the handoff point — context surfaced, deal history ready, next action suggested.

Reporting directly to the CSO, the GTM AI Specialist learns the full architecture, contributes to both layers, and progressively takes end-to-end ownership of agents in production. You are not joining a team that advises the business on AI. You are building the system that is the business. There is no playbook. You help write it.

North Star

Ship AI agents that run on real merchant data, prove their value in measurable terms, and make the sales organisation faster and sharper than it would be without them. The build compounds — every signal, every call, every conversion feeds back into what you build next. You are here to make that happen.

What You’ll Do:

• Build across both layers of the fleet — Layer 1: agents that run autonomously without rep involvement — outbound sequencing, lead prioritisation, inbound triage, reactivation. Reps receive warm opportunities, not cold lists. Layer 2: agents that equip reps at the moment they step in — account context surfaced, deal history ready, next action suggested. You learn how both layers work and progressively contribute to each.
• Identify what to build and make the case for it — You are not waiting to be given a task list. You look at the sales organisation, find the highest-value problem an agent could solve, and bring a structured proposal to the CSO. Judgment about what is worth building matters as much as the ability to build it.
• Test, measure, and iterate — You run experiments on real merchant data, measure whether what you built is working, identify failure modes, and refine. Every agent you touch has a documented performance trail. You do not ship and move on.
• Mine call transcripts for agent inputs — Process sales call recordings to extract patterns, category signals, and performance data. This is raw material for the agents you build — not a separate analytics workstream. You surface insights from it and design around them.
• Document and maintain what you ship — Every agent you deploy has a before/after record. You keep it current. You present it. You own what you built — not just while you're building it.

What You Bring:

• A degree from an Ivy League or equivalent top-tier university strongly preferred— computer science, data science, economics, mathematics, or a field that taught you to think in systems. The subject matters less than the rigor of how you were trained to think.
• You have built an AI agent or automated workflow — not a class project. Something you designed, built, and iterated on because you wanted to see if it would work. You can explain what it did, what broke, and what you changed. The bar is not commercial success. The bar is that you shipped something real.
• Technical capability to build: you have used LLM APIs (OpenAI, Anthropic, or equivalent), built prompt architectures, and connected systems together. Python or equivalent. You do not need to be a software engineer — but you need to be able to build a working agent without asking someone else to write the code.
• Commercial curiosity. You read about how businesses make money. You ask why something converts and why something else doesn’t. You do not need a sales background — you need the instinct to connect what you build to a GP outcome.
• Rigor with data. You do not accept a number without understanding where it came from. You build your own measurement frameworks when none exist.

Who You Are:

• Builder first — your instinct is to build, not to ask for permission. You have side projects because you were curious, not because someone assigned them.
• AI-native, not AI-curious — you have spent real time understanding what these systems can and cannot do. You know the difference between a demo and a deployed agent.
• Comfortable with ambiguity — you can start without a complete brief, identify the next right step, and keep moving. You learn faster by doing than by waiting for clarity.
• Commercially curious — you connect what you build to a business outcome. You ask why something converts and why something doesn’t. Technology is the means; impact is the goal.

You are early in your career. That is the point. If you don’t tick every box but you build, learn fast, and want to work on something that doesn’t yet exist — we want to hear from you.

How We Operate:

Five principles. Non-negotiable.

• Extreme Ownership — if an agent you’re responsible for underperforms, you own the diagnosis and the fix — not the vendor, not the backlog.
• Speed Over Comfort — you ship an experiment before you’re sure it will work. You learn from live data, not from waiting.
• Impact Obsessed — every hour of your time should connect to a GP outcome — directly or as a clear step toward one.
• Simplify to Scale — you document what you build so it can be used by someone else. Complexity you create and don’t explain is debt.
• Disciplined — you keep your data clean, your experiments rigorous, and your performance logs current. Good intentions without rigour produce noise.

How We Measure Your Success:

• Agent shipped: first working agent in production by day 90, with a documented hypothesis, performance data, and an honest assessment of what worked and what didn’t
• Quality of proposals: structured agent proposals to the CSO — ranked by commercial impact, grounded in data, specific about what gets built and how it gets measured
• Experiment rigour: every agent you deploy has a defined success metric set before go-live — not retrofitted afterward
• Learning progression: demonstrated improvement in AI build quality, commercial reasoning, and stack fluency quarter over quarter — assessed directly by the CSO
• Contribution to the fleet: at least one documented insight per month surfaced from call transcripts or agent performance data — standalone, with a recommendation

The Details:

• Base salary: 90k-120k base + 10% ABP Bonus 
• Location: Downtown Chicago (hybrid, 3 days a week in-office)
  • Alternate locations: Can be remote for the right fit, NYC strongly encouraged
• Benefits start the 1st of the month after your start date — Medical, Dental, Vision, Life Insurance, Disability, FSAs, EAP, 401(k) match, ESPP, flexible PTO, and more
• Employee Resource Groups & inclusive team culture

About the Role:

Groupon is rebuilding how it sells — from the ground up, with AI. The vehicle is Project Foundry: a production fleet of AI agents designed to give Groupon a parallel sales force and make every human rep sharper the moment they step into a deal. The fuel Foundry runs on is intelligence: which leads are worth pursuing, in what order, and why. That intelligence layer is what this role exists to build and own.

Reporting directly to the CSO, the AI-Powered Growth Intelligence Associate owns Groupon’s lead scoring architecture, routing logic, and pipeline forecasting. You work with one of the most data-rich commercial environments in e-commerce — proprietary consumer transaction signals, merchant health data, and years of conversion history. You don’t configure Salesforce. You extract signal from it, build models on top of it, and use AI to turn raw data into the queue every rep opens each morning. There is no separate analytics team to hand off to. You build it, you own it.

The intelligence layer you build is what Foundry's autonomous agents run on. When an AI agent sequences an outbound lead, reactivates a dormant merchant, or routes an inbound inquiry — it is working from your scoring model. When a rep opens their queue, the ranked order reflects your logic. You sit at the foundation of the AI sales architecture, not at its edge.

North Star

Turn Groupon’s raw lead data into a predictive intelligence system — so every rep opens their queue and finds the right account, in the right order, with the right context, every single day.

What You’ll Do:

• Own the lead scoring model — Design, build, and continuously refine the AI-powered scoring model that determines which leads get prioritised. Use firmographic data, behavioural signals, merchant health indicators, and conversion history to predict outcomes — not just activity.
• Define and improve lead routing — Translate scoring intelligence into assignment rules that get the right lead to the right rep at the right time. Work with the Sales Operations team on implementation; you define the logic and own the outcome.
• Build pipeline intelligence — Give the CSO and Sales leadership a live view of where pipeline is healthy, where it is at risk, and what is likely to convert this quarter.
• Run experiments on live data — Test whether a new signal improves conversion. Measure the delta. Iterate. Every change has a before/after record. You do not ship and move on.
• Mine Groupon’s data advantage — Use CRM data, call transcripts, and enrichment sources to find signals no competitor can replicate. This is Groupon’s moat. You are building on top of it.

What You Bring:

• A degree from an Ivy League or equivalent top-tier university strongly preferred — data science, computer science, economics, statistics, or a quantitative field that trained you to think in systems. Up to 2 years of professional experience.
• Hands-on fluency with Python and data tools — you have built models and connected data sources. You need to build a working pipeline without asking someone else to write the code.
• Active use of AI tools — you have used LLM APIs (OpenAI, Anthropic, or equivalent) to build something real, and you know the difference between a demo and a deployed workflow.
• Analytical rigor without a safety net — you build your own measurement frameworks. You do not accept a metric you cannot define or a result you cannot explain.
• Commercial curiosity about how leads and sales motions work — you don’t need a sales background, but you need the instinct to connect what you build to a GP outcome.

Who You Are:

• Builder first. Your instinct is to build before you ask, and to measure before you conclude.
• AI-native, not AI-curious. You use AI the way a previous generation used spreadsheets: constantly, purposefully, and with measurable output.
• Comfortable owning something fragile. You stabilize it, document it, then improve it.
• Rigorous with ambiguity. When there is no clean data, you make a reasoned call, document your assumptions, and build a way to test whether you were right.
• Commercially wired. You connect what you build to pipeline outcomes. If conversion doesn’t move, the model isn’t done.

You are early in your career. That is the point. If you don’t tick every box but you build, learn fast, and want to work on something that doesn’t yet exist — we want to hear from you.

How We Operate:

At Groupon, we build on five principles: Extreme Ownership, Speed Over Comfort, Impact Obsessed, Simplify to Scale, and Disciplined. These aren’t values on a wall — they’re how we expect everyone to show up.

In this role, these principles mean:

• Extreme Ownership — If a rep is working the wrong leads, that traces back to your model. You own the diagnosis and the fix.
• Speed Over Comfort — You ship a scoring model with 80% of the signals before waiting for perfect coverage. Every week without better lead intelligence has a real cost to pipeline.
• Impact Obsessed — Lead-to-opportunity conversion is your north star metric. Everything else is a proxy.
• Simplify to Scale — A routing algorithm no one understands won’t be trusted. You build for clarity.
• Disciplined — You build measurement into every model before you ship it. If you cannot tell whether it’s working, you don’t call it done.

How We Measure Your Success:

• Lead-to-opportunity conversion rate — sustained improvement against baseline, tracked monthly.
• Routing accuracy — percentage of leads assigned to the right rep on first touch.
• Pipeline forecast accuracy — variance between model output and actual conversion, at CSO level.
• Model iteration cadence — how quickly the scoring model is updated when signals degrade.
• First working model in production by day 90, with a documented hypothesis and performance data.

Compensation & Benefits:

• Base salary: 90k-120k base + 10% ABP Bonus 
• Location: Downtown Chicago (hybrid, 3 days a week in-office)
  • Alternate locations: Can be remote for the right fit, NYC strongly encouraged
• Benefits start the 1st of the month after your start date — Medical, Dental, Vision, Life Insurance, Disability, FSAs, EAP, 401(k) match, ESPP, flexible PTO, and more
• Employee Resource Groups & inclusive team culture

Own the strategy. Lead the team. Run $1M+ monthly budgets.

📍Madrid ~ hybrid setup  

Groupon is looking for a hands-on Display / Paid Social Lead who can take over our global paid social engine, elevate the strategy, and lead a five-person team across Meta, Criteo, GDN, TikTok, and more. This is not a maintenance role. This is a “take it, fix it, scale it” role.

You’ll own Meta performance end-to-end, drive Gross Profit within ROAS guardrails, accelerate creative testing, and bring AI-enabled execution into daily workflows. And yes - you’ll work with serious budgets: $1M+ per month. If you thrive in fast data loops, know how to push teams to excellence, and love mixing creativity with analytics, this one’s for you.

🔥 What You’ll Lead

• Lead and develop a team of 5 specialists - set KPIs, coach performance, build routines, and reset the way of working.
• Own and execute the global Display & Paid Social strategy across Meta (core), Criteo, GDN, TikTok, Reddit and emerging app channels.
• Balance prospecting/retargeting and identify scalable growth opportunities with feed & category owners.
• Combine hands-on execution (~50% at the start) with long-term strategic leadership.
• Run a structured brief → build → QA → launch workflow with Design and deliver AI-enabled creative production.
• Drive data-led decision making using Tableau , and support app-marketing, AppsFlyer integration and incrementality testing.
• AI & automation (LLMs for briefs, creative iteration, QA; platform automations for alerts/bulk changes).
• Collaborate closely with Revenue, BI, Product, Design and communicate clearly through concise updates and post-mortems.

🙌 You’ll Be Great If You

• Have deep Meta Ads expertise with multi-market, high-spend budgets  ≥ $1 M / month

• Have experience in Local Services, marketplaces, or high-volume B2C.

• Know how to lead a team, set standards, and build strong routines.

• Are both analytical & creative - DPA, feed quality, testing mindset.

• Use AI tools daily (ChatGPT, Gemini, AI video tools, automation).

• Have a solid understanding of analytics (Tableau etc.)

• Communicate clearly, push for clarity, and make things happen.

💚 Why Join Groupon

• Massive budgets, global scale, and space to truly influence outcomes.

• A role with ownership - you’re the Display owner for the entire business.

• Cross-functional support: Product, Revenue, BI, Design.

• Real opportunity to rebuild processes, level-up the team, and leave a mark.

• Culture that values data, speed, experimentation, and smart automation.

🚀 Ready to lead Groupon’s Display performance into 2026? Send us your profile, we’d love to connect.

📍 Location: Prague or Madrid (Hybrid working model)

We’re looking for a Senior PPC Specialist who will take ownership of Google Ads performance at scale and help us move beyond traditional PPC into an automated, system-driven performance setup.

💻 What you’ll do

You will own and scale Google Ads performance across international markets, managing significant budgets and building more automated, efficient ways of working.

Core responsibilities:

• Own Google Ads performance (Search, Shopping, Performance Max, Demand Gen, Hotel Ads, DSA)
• Manage and optimize large-scale budgets with strong focus on business outcomes (ROAS, CAC, margin, LTV)
• Improve and scale account structures across multiple international markets
• Work on automation and system improvements using code and APIs
• Help transition performance setup towards more AI-driven and automated workflows
• Identify growth opportunities across markets and campaigns
• Collaborate closely with analytics and growth teams

🤖 How this role is different

This is not a “classic PPC specialist” role.

We are moving towards a setup where:

• campaign management is increasingly automated
• performance decisions are driven by data and systems
• manual optimization is only a small part of the job

We are looking for someone who:

• thinks in systems, not just campaigns
• understands how to scale performance efficiently at high budgets
• is open to working with automation, APIs, and AI tools
• challenges standard PPC approaches when needed

💪 What we’re looking for

• Senior experience in Google Ads (ownership of accounts, not just execution)
• Experience with large budgets (hundreds of thousands € monthly or more)
• Strong understanding of e-commerce or marketplace performance marketing
• Ability to connect performance metrics with business impact
• Strong analytical thinking and structured problem solving
• Hands-on experience with AI tools, automation workflows, or AI-driven marketing systems

This role is not for you if

• You want a purely execution-focused PPC role
• You prefer manual campaign optimization as your main work
• You don’t want to work with automation, APIs, or technical topics
• You’ve only worked with small or mid-size budgets
• You are not comfortable in a fast-paced, high-change environment where priorities can shift quickly and expectations are high on speed and ownership

💚 Why Groupon

• You’ll work on Google Ads at true scale across international markets
• Performance marketing here is evolving from manual PPC execution into automated, system-driven growth
• You’ll be part of a shift toward AI-enabled workflows and smarter, more efficient ways of managing performance
• High budget ownership with direct impact on business outcomes (not just platform metrics)
• Opportunity to help shape how performance marketing is done, not just execute existing processes
• Fast-moving environment where decisions are driven by data, impact, and speed rather than rigid structures

Architect the "Source of Truth" for a Global Marketplace

At Groupon, data isn't just a byproduct—it is the product. We are looking for a Senior Data Analytics Engineer to bridge the gap between raw infrastructure and business insight. You won't just write queries; you will architect the semantic layer of our data warehouse, ensuring that every dashboard, AI model, and executive decision is built on a foundation of trust.

This is a high-impact Individual Contributor role for a builder who loves SQL, obsesses over data modeling, and wants to solve complex problems at a global scale.

The AI Advantage 🤖

We don't just analyze AI; we build with it. You will work in an AI-First environment, leveraging LLMs (ChatGPT, Claude, Copilot) daily to:

• Accelerate SQL generation and refactoring.

• Automate documentation and data lineage.

• Build specific "Feature Stores" that power our Machine Learning models.

What You’ll Build & Own

• The Gold Layer: Design and maintain clean, reusable, and documented data marts in BigQuery that serve as the single source of truth for the company.

• Pipeline Orchestration: Build robust ELT pipelines using Airflow or Keboola. If a pipeline fails at 3 AM, your code is resilient enough to handle it.

• Performance Engineering: Optimize SQL for massive scale. You understand clustering, partitioning, and execution plans to ensure we process petabytes without burning the budget.

• Data Governance: Implement automated testing (dbt-style checks) to catch data drift before it hits the dashboard.

The Tech Stack

• Core: Google Cloud Platform (GCP), BigQuery.

• Orchestration: Airflow, Cloud Composer, Keboola.

• Languages: Advanced SQL (Mandatory), Python.

• Visualization: Tableau, Looker (Knowledge of the semantic layer).

Must-Haves

• 5+ Years Experience: You have a track record in Analytics Engineering, Data Engineering, or BI Development.

• SQL Mastery: You write production-grade code. You know the difference between a query that works and a query that scales.

• Data Modeling: Deep understanding of dimensional modeling (Kimball/Star Schema) and modern data stack patterns.

• Builder Mindset: You treat data assets like software products—versioned, tested, and documented.

Ready to build the data engine that powers the future of local commerce? Apply Now.

#LI-KH1 #LI-Hybrid

We are undergoing a radical transformation—and we’re seeking engineering leaders for the Marketing org (Organic or paid marketing domains), powering millions of real-time communications and defining the future.

Our mission is to drive engagement and conversions by reaching the right users with the right message at the right time—without relying on paid media.

Our development ecosystem:

• Languages: Java, Spring, Ruby
• Frontend: NodeJS, ReactJS
• Databases: MySQL, PostgreSQL, Redis, Memcache
• Infrastructure: AWS, GCP, Kubernetes, Docker, Terraform
• Messaging: Kafka, RabbitMQ, ActiveMQ
• Monitoring & Logging: ELK, Wavefront, Splunk
• Development Tools: GitHub, Jenkins, JIRA, Confluence, Asana

Your Responsibilities:

As an Engineering Manager II (EM II), your work will directly contribute to our business-critical platforms and global communications infrastructure. You will be accountable for:

🌟 1. Customer Communication Excellence

• Drive reliability, performance, and personalization across our Dispatch and Subscription systems.
• Achieve a 99.99% delivery success rate and under 1s latency for real-time communications.

🌟 2. Subscription Platform Growth

• Lead engineering teams focused on the evolution and scalability of our subscription systems.
• Enable 2x growth in subscriber engagement and conversion over the next 12 months.

🌟 3. Platform Scalability & Operational Efficiency

• Reduce technical debt and optimize resource usage across core services by modernizing legacy infrastructure and adopting cloud-native patterns.
• Achieve a 30% reduction in platform operational costs while improving performance benchmarks.

🌟 4. Engineering Team Performance & Growth

• Build high-performing, autonomous, and globally distributed teams that execute with agility and ownership.
• Maintain 90%+ team engagement and less than 10% regrettable attrition, with measurable velocity improvements.

🌟 5. AI-First Transformation Enablement

• Champion the integration of AI/ML where it enhances business outcomes, from system automation to intelligent routing and customer experience.
• Deliver at least 2 AI-driven features or systems into production per year.

You’ll spend time on the following:

• Take full ownership of the project deliveries across multiple platform services.
• Collaborate cross-functionally to ensure delivery of business features aligned with cost, scale, and speed goals.
• Drive technical discussion and decisions within the team’s scope, participate in design and code reviews 
• Hire and develop the team members, and manage their performance actively
• Lead and mentor engineers and managers, focusing on impact, autonomy, and innovation.
• Establish and enforce engineering best practices, especially in a microservices, cloud-native, CI/CD environment.
• Drive architectural decisions that align with Groupon’s transformation and cost optimization objectives.
• Manage team health and performance through coaching, feedback, and regular career development conversations.
• Lead with empathy, vision, and a strong bias for measurable results.

We’re excited about you if you have:

• BE/BTech or ME/MTech degree in Computer Science, Software Engineering from a recognised institute
• 10+ years of overall industry experience with 4 years of leadership (hands-on engineering management) role in developing and supporting web applications, micro services in a distributed environment
• Experience with managing platform services, delivering projects in a dynamic environment
• Experience with managing high-performance individuals in different time zones.
• Good communication and collaboration skills, and the ability to deal with ambiguity.
• Strong experience in programming languages - Java and competent in designing and building enterprise-scale applications, common frameworks, etc.
• Experience building and scaling large-scale distributed systems and development experience with service-oriented architectures/microservices
• Prior AWS/GCP/Azure/Pivotal Cloud Foundry experience is a must.
• Proven success managing and scaling platform services in fast-moving environments
• Experience leading cross-regional teams and driving platform-level strategies
• Strong understanding of cloud infrastructure, distributed systems, and messaging patterns
• Passion for mentorship, performance management, and Values ​​alignment.
• Commitment to customer impact, technical quality, and agile practices

We value Managers who are:

• Customer-Driven: You make decisions anchored in customer outcomes.
• Operationally Excellent: You scale systems without compromising efficiency.
• Strategically Minded: You prioritize initiatives that align with company growth and margin goals.
• Empowering Leader: You invest in people and create a strong team with values ​​alignment.
• AI-Forward Thinker: You embrace technology shifts and harness AI for scale and innovation.

About the Role

Engineering Manager – Marketing Platform (Dispatch & Subscriptions)

Groupon's Marketing Engineering team owns the systems that connect millions of users with the right offer at the right time. This includes our Dispatch platform (real-time communications infrastructure) and Subscription systems that drive engagement and conversion at scale.

As Engineering Manager, you'll lead distributed engineering teams responsible for the reliability, scalability, and evolution of these platforms. You'll be accountable for both keeping the lights on and driving meaningful modernization — reducing operational costs, shipping AI-enabled features, and building a team that executes with ownership and speed.

This role sits at the intersection of platform engineering and business impact. If you're energized by large-scale distributed systems, cross-functional delivery, and growing engineers — this is for you.

Key Responsibilities

• Own end-to-end delivery across Dispatch and Subscription platform services, ensuring 99.99% uptime and sub-1s latency for real-time communications

• Lead and grow a distributed engineering team; manage performance, run regular 1:1s, and build a strong culture of ownership and accountability

• Drive platform modernization: reduce technical debt, optimize cloud resource usage, and target a 30% reduction in operational costs over 12 months

• Partner with product, data, and marketing stakeholders to align engineering delivery with business priorities

• Set and enforce engineering standards — code quality, CI/CD pipelines, microservices patterns, and incident response

• Participate actively in architectural decisions, design reviews, and technical direction within your team's scope

• Champion AI/ML integration where it delivers measurable outcomes — intelligent routing, automation, personalization; target at least 2 AI-driven features shipped per year

• Own hiring across your team: sourcing, interviewing, onboarding, and ongoing development

Key Requirements

• Hands-on software engineering and leadership experience

• Hands-on background in Java and distributed systems; comfortable reviewing architecture and code when needed

• Proven experience managing platform or communications infrastructure at scale in a microservices, cloud-native environment

• Strong AI-First approach and working knowledge of AWS or GCP; familiarity with Kubernetes, Terraform, and messaging systems (Kafka, RabbitMQ)

• Experience leading geographically distributed teams across time zones

• Demonstrated ability to manage ambiguity, balance competing priorities, and deliver in fast-moving environments

• Track record of performance management, career development, and team building

Nice to Have

• Familiarity with Ruby, Node.js, or React in addition to Java

• Experience with email/push/SMS communication platforms or subscription management systems

• Exposure to AI/ML integration in production systems

• Background in marketing technology or customer engagement platforms

What Success Looks Like

• 30 days: You understand the platforms, team dynamics, key stakeholders, and top 3 risks. You've had 1:1s with every direct report and flagged immediate delivery blockers.

• 60 days: You've taken ownership of sprint planning, are running team rituals effectively, and have a clear view of the technical debt backlog with a prioritization proposal.

• 90 days: You've shipped at least one meaningful improvement, established clear performance baselines, and have a 12-month roadmap draft aligned with business goals.

We Are Interested In

• Leaders who make decisions anchored in customer and business outcomes 

• Managers who build autonomy in their teams rather than creating dependency on themselves

• Engineers who treat AI as a tool, not a trend 

• People who can hold quality standards in a messy, fast-moving environment without slowing everything down

• Communicators who can translate complexity for non-technical stakeholders without dumbing it down

#LI-KH1 #LI-Hybrid.

##LI-KH1 and #LI-Hybrid.

📍 Madrid / Prague | Hybrid 

Groupon is in transformation mode - and Performance Marketing is at the center of it.

We are one of the largest Meta advertisers in the region, running large-scale Dynamic Product Ads across complex product feeds. We’ve recently raised our ROAS targets, improved profitability, and now we’re pushing harder into acquisition.

We’re looking for a strong, hands-on Meta specialist who wants ownership, scale, and real impact.

🚀 What You’ll Own

• Full ownership of Meta Ads performance 

• Large-scale DPA campaigns

• Feed & catalog optimization 

• Creative testing strategy - from hypothesis to iteration

• Budget & bid strategy optimization at scale

• Data-driven decision making 

• Using AI tools to improve campaign workflows and insights

This is not a “launch campaigns and report” role. This is a role where you improve structure, performance, and profitability.

🎯 What We’re Looking For

• Strong hands-on Meta Ads experience

• Proven experience managing mid-to-large budgets

• Deep knowledge of DPA and catalog/feed optimization

• Experience in e-commerce / marketplace / performance-driven B2C

• Structured creative testing approach

• Solid analytical mindset

• Comfort using AI tools in daily marketing workflows

In-house experience is a plus.

💚 Why Groupon

• We operate at real scale  - not small experimental budgets

• Performance marketing is a core growth driver in our transformation

• High visibility and real ownership from day one

• Strong focus on profitability and measurable impact

• AI and automation are actively encouraged, not just discussed

• Hybrid model in Madrid or Prague

At Groupon, you won’t just manage campaigns - you’ll directly influence growth and performance.

If this sounds like the kind of challenge you’re looking for, we’d love to hear from you.

Own the strategy. Lead the team. Run $1M+ monthly budgets.

📍Prague ~ hybrid setup  

Groupon is looking for a hands-on Display / Paid Social Lead who can take over our global paid social engine, elevate the strategy, and lead a five-person team across Meta, Criteo, GDN, TikTok, and more. This is not a maintenance role. This is a “take it, fix it, scale it” role.

You’ll own Meta performance end-to-end, drive Gross Profit within ROAS guardrails, accelerate creative testing, and bring AI-enabled execution into daily workflows. And yes - you’ll work with serious budgets: $1M+ per month. If you thrive in fast data loops, know how to push teams to excellence, and love mixing creativity with analytics, this one’s for you.

🔥 What You’ll Lead

• Lead and develop a team of 5 specialists - set KPIs, coach performance, build routines, and reset the way of working.
• Own and execute the global Display & Paid Social strategy across Meta (core), Criteo, GDN, TikTok, Reddit and emerging app channels.
• Balance prospecting/retargeting and identify scalable growth opportunities with feed & category owners.
• Combine hands-on execution (~50% at the start) with long-term strategic leadership.
• Run a structured brief → build → QA → launch workflow with Design and deliver AI-enabled creative production.
• Drive data-led decision making using Tableau , and support app-marketing, AppsFlyer integration and incrementality testing.
• AI & automation (LLMs for briefs, creative iteration, QA; platform automations for alerts/bulk changes).
• Collaborate closely with Revenue, BI, Product, Design and communicate clearly through concise updates and post-mortems.

🙌 You’ll Be Great If You

• Have deep Meta Ads expertise with multi-market, high-spend budgets  ≥ $1 M / month

• Have experience in Local Services, marketplaces, or high-volume B2C.

• Know how to lead a team, set standards, and build strong routines.

• Are both analytical & creative - DPA, feed quality, testing mindset.

• Use AI tools daily (ChatGPT, Gemini, AI video tools, automation).

• Have a solid understanding of analytics (Tableau etc.)

• Communicate clearly, push for clarity, and make things happen.

💚 Why Join Groupon

• Massive budgets, global scale, and space to truly influence outcomes.

• A role with ownership - you’re the Display owner for the entire business.

• Cross-functional support: Product, Revenue, BI, Design.

• Real opportunity to rebuild processes, level-up the team, and leave a mark.

• Culture that values data, speed, experimentation, and smart automation.

🚀 Ready to lead Groupon’s Display performance into 2026? Send us your profile, we’d love to connect.

📍Prague 

Want real business exposure - not just another internship?

As a Business Operations Associate, you’ll work directly with the Head of Category Growth & Enterprise Partnerships and help drive revenue, projects, and operational improvements in one of Groupon’s key verticals.

This is a hands-on, high-ownership role.
Not admin. Not slides. Real impact.

We’re looking for an ambitious Master’s or final-year Bachelor’s student who wants to understand how enterprise partnerships are built, how category growth is driven, and how commercial decisions translate into revenue.

💻 What You’ll Do

Business Reporting & Insights

• Monitor core KPIs (revenue, margin, conversion, pipeline performance)

• Identify performance gaps and growth opportunities

• Improve reporting structure and dashboard clarity

• Turn raw data into structured business insights

Your goal: leadership trusts the numbers and acts on them.

 Cross-Functional Project Execution

• Own smaller initiatives end-to-end

• Support strategic efforts tied to enterprise deals and category growth

• Track timelines, surface blockers, and follow up with stakeholders

• Ensure important initiatives don’t stall

Your goal: increase execution speed and remove bottlenecks.

Operational Improvements

• Map workflows and identify inefficiencies

• Propose simplifications or automation

• Support sales tracking and internal coordination processes

Your goal: help transition from scrappy execution to scalable systems.

Commercial Exposure

• Analyze sales performance and pipeline dynamics

• Identify revenue-impacting bottlenecks

• Gain exposure to enterprise partnerships and commercial decision-making

You’ll see how strategy connects to execution - and how execution drives growth.

💪 Who We’re Looking For

• Master’s student or final-year Bachelor’s

• Background in Business, Economics, Finance, Analytics, or similar

• At least one relevant internship (startup, consulting, e-commerce, operations)

Must-haves:

• Strong Excel skills

• Analytical thinking

• High ownership mindset

• Ability to operate in ambiguity

• Fluent English

🔎 Practical Details

• Part-time (20-25 hours per week)

• Prague-based 

• 2-5 weekly calls with US stakeholders (late afternoon flexibility required)

If you’re analytical, ambitious, and ready to take responsibility earlier than most of your peers - we’d love to hear from you. 🚀

Role Purpose:

The Sr. Manager of Sales Tooling & AI is a strategic and technical leader responsible for architecting, optimizing, and scaling Groupon’s sales technology ecosystem, with primary ownership of Salesforce and Salesloft. This role sits at the intersection of Sales, Sales Operations, Engineering, and Analytics, ensuring our sellers are equipped with intuitive, automated, and AI-enabled tools that drive productivity and performance.

This leader will modernize and simplify a historically layered sales tech stack by establishing a clear point of view on systems architecture, automation strategy, and AI-forward solutioning. The mandate is not simply to administer tools, but to transform them into a competitive advantage by reducing friction, improving data integrity, and enabling intelligent workflows that drive measurable commercial outcomes.

The Sr. Manager will lead a high-performing team of Salesforce Administrators and Business Program Managers responsible for CRM governance, sales engagement optimization, automation, integrations, and continuous innovation across the sales technology landscape.

Key Responsibilities:

Sales Technology Strategy & Architecture

• Define and own the strategic roadmap for Salesforce, Salesloft, and the broader sales tech ecosystem.
• Establish scalable architecture standards, governance models, and integration frameworks.
• Partner with Sales Leadership and Sales Ops to translate business priorities into system capabilities and workflow design.
• Rationalize legacy tools and technical debt to simplify the seller experience.

Salesforce Ownership & Optimization

• Serve as the executive owner of Salesforce strategy, configuration, data model integrity, and user experience in conjunction with the Engineering department.
• Lead enhancements across pipeline management, forecasting, account hierarchy, territory alignment, and reporting.
• Drive automation of manual workflows and process improvements.
• Ensure data governance standards and scalable object architecture that supports evolving business models.

Salesloft & Sales Engagement Excellence

• Own the strategy, implementation, and optimization of Salesloft.
• Design structured cadence frameworks aligned to funnel strategy and segmentation.
• Improve seller adoption through workflow integration with Salesforce and enablement best practices.
• Leverage Salesloft analytics to continuously refine outreach effectiveness and pipeline generation.

Automation & AI Forward Solutioning

• Identify and implement automation opportunities that eliminate low-value administrative work for sellers.
• Partner with Data & Analytics to embed AI-driven insights into daily sales workflows (e.g., next-best-action, prioritization, lead scoring).
• Evaluate and pilot emerging AI tools that improve seller productivity, forecasting accuracy, and engagement quality.
• Ensure AI initiatives are practical, measurable, and integrated into core operating processes.

Reporting, Insights & Performance Enablement

• Collaborate with Analytics to define the core sales data model and system-driven metrics.
• Enable real-time visibility into pipeline health, activity effectiveness, and productivity drivers.
• Ensure tools reinforce desired sales behaviors and align with incentive design and performance frameworks.

Change Management & Adoption

• Lead change management for new tools, automations, and system enhancements.
• Drive high adoption through structured communication, training, and feedback loops.
• Establish clear SLAs, intake processes, and prioritization frameworks for system requests.

Team Leadership & Cross-Functional Partnership

• Build and develop a high-performing Sales Tooling team, including Salesforce administrators, system analysts, and automation specialists.
• Act as a trusted partner to Sales Leadership, Marketing, Engineering, Finance, and Data teams.
• Balance speed and innovation with governance, compliance, and long-term scalability.

Qualifications:

• 8–12+ years of experience in Sales Operations, Revenue Operations, Sales Technology, Engineering, or related roles in mid-to-large enterprise environments.
• 5+ years of deep, hands-on Salesforce experience, including architecture, automation (Flows), integrations, and data governance. Salesforce Admin and/or Advanced Admin certification strongly preferred.
• Strong expertise in Salesloft (or comparable sales engagement platform) with demonstrated success driving adoption and measurable productivity gains.
• Proven experience designing and implementing automation strategies that improve sales efficiency.
• Exposure to AI-enabled sales tools, predictive modeling, or workflow intelligence solutions.
• Experience leading and developing technical or systems-focused teams.
• Strong stakeholder management skills in matrixed, cross-functional environments.
• Highly analytical, systems-oriented thinker with the ability to connect tooling decisions to commercial outcomes.

We Are Looking For:

• Systems Architect: Thinks in terms of scalable design, clean data models, and long-term sustainability.
• Product Mindset Operator: Treats Salesforce and Salesloft as evolving products, not static tools.
• Automation Champion: Obsessed with eliminating manual effort and increasing seller focus on revenue-generating activity.
• AI Pragmatist: Excited about AI innovation but disciplined in applying it where it drives measurable impact.
• Adoption Driver: Understands that a tool only matters if sellers use it effectively and consistently.

How We Measure Your Success:

First 2-3 Months

• Clear, documented sales tooling roadmap aligned to commercial priorities.
• Improved Salesforce data hygiene and workflow efficiency.
• Increased Salesloft adoption and measurable improvements in activity-to-pipeline conversion.
• Reduction in manual seller administrative time through automation initiatives.

3–6 Months

• Embedded AI-driven workflows that improve prioritization, forecasting accuracy, and outreach effectiveness.
• Streamlined tech stack with reduced redundancy and improved integration stability.
• Measurable gains in seller productivity and pipeline velocity attributable to tooling enhancements.

Longer Term

• A sales technology ecosystem that is intuitive, scalable, and AI-enabled.
• Sellers spending more time selling and less time navigating systems.
• Sales Tooling recognized as a strategic lever for revenue growth and operational excellence.

Why You'll Love Working Here:

• High-impact role with visibility to senior leadership – Help shape the systems that power Groupon’s global sales organization.
• Opportunity to influence the future of a global public company – Play a key role in modernizing the technology and workflows that drive our commercial growth.
• Entrepreneurial environment where your contributions matter – Move quickly, simplify complexity, and see your work translate into real business impact.
• A culture that values curiosity, ownership, and results – We empower people who take initiative, challenge the status quo, and deliver outcomes.

The Details:

• Location: Downtown Chicago (hybrid, 3 days a week in-office)
  • Alternate location: Open to candidates living in València, Spain
• Salary Range for Chicago: $120,000 – $150,000, plus eligibility to participate in a performance-based bonus program.
  • Estimated Total OTE: $150,000 – $187,500+
• Benefits: Medical, dental, vision, EAP, 401(k) match, ESPP, life and disability insurance, FSAs, flexible PTO, and more.

Role Purpose:

The Sr. Manager of Sales Tooling & AI is a strategic and technical leader responsible for architecting, optimizing, and scaling Groupon’s sales technology ecosystem, with primary ownership of Salesforce and Salesloft. This role sits at the intersection of Sales, Sales Operations, Engineering, and Analytics, ensuring our sellers are equipped with intuitive, automated, and AI-enabled tools that drive productivity and performance.

This leader will modernize and simplify a historically layered sales tech stack by establishing a clear point of view on systems architecture, automation strategy, and AI-forward solutioning. The mandate is not simply to administer tools, but to transform them into a competitive advantage by reducing friction, improving data integrity, and enabling intelligent workflows that drive measurable commercial outcomes.

The Sr. Manager will lead a high-performing team of Salesforce Administrators and Business Program Managers responsible for CRM governance, sales engagement optimization, automation, integrations, and continuous innovation across the sales technology landscape.

Key Responsibilities:

Sales Technology Strategy & Architecture

• Define and own the strategic roadmap for Salesforce, Salesloft, and the broader sales tech ecosystem.
• Establish scalable architecture standards, governance models, and integration frameworks.
• Partner with Sales Leadership and Sales Ops to translate business priorities into system capabilities and workflow design.
• Rationalize legacy tools and technical debt to simplify the seller experience.

Salesforce Ownership & Optimization

• Serve as the executive owner of Salesforce strategy, configuration, data model integrity, and user experience in conjunction with the Engineering department.
• Lead enhancements across pipeline management, forecasting, account hierarchy, territory alignment, and reporting.
• Drive automation of manual workflows and process improvements.
• Ensure data governance standards and scalable object architecture that supports evolving business models.

Salesloft & Sales Engagement Excellence

• Own the strategy, implementation, and optimization of Salesloft.
• Design structured cadence frameworks aligned to funnel strategy and segmentation.
• Improve seller adoption through workflow integration with Salesforce and enablement best practices.
• Leverage Salesloft analytics to continuously refine outreach effectiveness and pipeline generation.

Automation & AI Forward Solutioning

• Identify and implement automation opportunities that eliminate low-value administrative work for sellers.
• Partner with Data & Analytics to embed AI-driven insights into daily sales workflows (e.g., next-best-action, prioritization, lead scoring).
• Evaluate and pilot emerging AI tools that improve seller productivity, forecasting accuracy, and engagement quality.
• Ensure AI initiatives are practical, measurable, and integrated into core operating processes.

Reporting, Insights & Performance Enablement

• Collaborate with Analytics to define the core sales data model and system-driven metrics.
• Enable real-time visibility into pipeline health, activity effectiveness, and productivity drivers.
• Ensure tools reinforce desired sales behaviors and align with incentive design and performance frameworks.

Change Management & Adoption

• Lead change management for new tools, automations, and system enhancements.
• Drive high adoption through structured communication, training, and feedback loops.
• Establish clear SLAs, intake processes, and prioritization frameworks for system requests.

Team Leadership & Cross-Functional Partnership

• Build and develop a high-performing Sales Tooling team, including Salesforce administrators, system analysts, and automation specialists.
• Act as a trusted partner to Sales Leadership, Marketing, Engineering, Finance, and Data teams.
• Balance speed and innovation with governance, compliance, and long-term scalability.

Qualifications:

• 8–12+ years of experience in Sales Operations, Revenue Operations, Sales Technology, Engineering, or related roles in mid-to-large enterprise environments.
• 5+ years of deep, hands-on Salesforce experience, including architecture, automation (Flows), integrations, and data governance. Salesforce Admin and/or Advanced Admin certification strongly preferred.
• Strong expertise in Salesloft (or comparable sales engagement platform) with demonstrated success driving adoption and measurable productivity gains.
• Proven experience designing and implementing automation strategies that improve sales efficiency.
• Exposure to AI-enabled sales tools, predictive modeling, or workflow intelligence solutions.
• Experience leading and developing technical or systems-focused teams.
• Strong stakeholder management skills in matrixed, cross-functional environments.
• Highly analytical, systems-oriented thinker with the ability to connect tooling decisions to commercial outcomes.

We Are Looking For:

• Systems Architect: Thinks in terms of scalable design, clean data models, and long-term sustainability.
• Product Mindset Operator: Treats Salesforce and Salesloft as evolving products, not static tools.
• Automation Champion: Obsessed with eliminating manual effort and increasing seller focus on revenue-generating activity.
• AI Pragmatist: Excited about AI innovation but disciplined in applying it where it drives measurable impact.
• Adoption Driver: Understands that a tool only matters if sellers use it effectively and consistently.

How We Measure Your Success:

First 2-3 Months

• Clear, documented sales tooling roadmap aligned to commercial priorities.
• Improved Salesforce data hygiene and workflow efficiency.
• Increased Salesloft adoption and measurable improvements in activity-to-pipeline conversion.
• Reduction in manual seller administrative time through automation initiatives.

3–6 Months

• Embedded AI-driven workflows that improve prioritization, forecasting accuracy, and outreach effectiveness.
• Streamlined tech stack with reduced redundancy and improved integration stability.
• Measurable gains in seller productivity and pipeline velocity attributable to tooling enhancements.

Longer Term

• A sales technology ecosystem that is intuitive, scalable, and AI-enabled.
• Sellers spending more time selling and less time navigating systems.
• Sales Tooling recognized as a strategic lever for revenue growth and operational excellence.

Why You'll Love Working Here:

• High-impact role with visibility to senior leadership – Help shape the systems that power Groupon’s global sales organization.
• Opportunity to influence the future of a global public company – Play a key role in modernizing the technology and workflows that drive our commercial growth.
• Entrepreneurial environment where your contributions matter – Move quickly, simplify complexity, and see your work translate into real business impact.
• A culture that values curiosity, ownership, and results – We empower people who take initiative, challenge the status quo, and deliver outcomes.

The Details:

• Location: Downtown Chicago (hybrid, 3 days a week in-office)
  • Alternate location: Open to candidates living in València, Spain
• Salary Range for Chicago: $120,000 – $150,000, plus eligibility to participate in a performance-based bonus program.
  • Estimated Total OTE: $150,000 – $187,500+
• Benefits: Medical, dental, vision, EAP, 401(k) match, ESPP, life and disability insurance, FSAs, flexible PTO, and more.