Location: USA
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
The
Delivery Success Executive (DSE)
owns an assigned portfolio of customers and is accountable for both successful delivery and long-term commercial growth. The role combines portfolio management and delivery governance with deep product expertise and a clear commercial mandate: retention and expansion. As trusted advisors, DSEs use expert-level knowledge of the Creatio platform to validate approaches, guide best practices, and ensure every solution is aligned with customer needs, and delivering measurable business value.
The role is based in USA, remote.
Responsibilities:
- Product Expertise: Serve as a product knowledge carrier for the assigned portfolio, demonstrating expert-level understanding of the Creatio platform and its ecosystem.
- Proactively advise customers and partners on optimal solution approaches and platform capabilities.
- Help customers achieve their desired business outcomes through strong product adoption, value realization, and high ROI.
- Portfolio & Project Management: Own an assigned portfolio of customers, overseeing their implementation projects and ongoing engagements.
- Monitor progress, risks, and dependencies across projects to ensure alignment with agreed standards and commitments.
- Delivery Governance & Assurance: Enforce delivery standards, methodologies, and reporting frameworks across the portfolio.
- Control and audit delivery processes, identifying early red flags to prevent delivery and launch-related issues.
- Conduct portfolio-level reviews to validate outcomes, quality, and readiness for go-live.
- Risk & Solution Oversight: Work closely with Delivery Assurance Architects to validate both technical and functional aspects of solutions.
- Identify risks across the portfolio and drive mitigation strategies.
- Knowledge & Best Practices: Capture lessons learned, integrate them into the Center of Delivery Excellence framework, and mentor team members and partners.
- Customer Success & Commercial Growth: Develop a deep understanding of customers' business priorities and proactively identify opportunities to support their long-term success.
- Grow the customer portfolio through strong retention, zero churn, and active cross-sell and upsell.
- Collaborate closely with internal Sales, Delivery, Support, Product, and Partner teams to ensure a consistent customer experience.
- Customer & Partner Engagement: Act as the key contact and trusted advisor for customer executives across the assigned portfolio, communicating effectively with stakeholders at every level, including C-level.
- Provide portfolio-level visibility and transparency through governance meetings and reporting.
Requirements:
- Proven experience in program/portfolio management across multiple projects.
- 3+ years in B2B Customer Success, Account Management, or Project Management with enterprise accounts.
- Proven track record of driving adoption and value realization, and supporting retention and account growth (renewals, cross-sell, upsell).
- Deep Creatio platform expertise (functional and technical) and knowledge of competing low-code/no-code platforms.
- Ability to conduct high-level solution estimations and guide teams in applying best practices.
- Strong client-facing and stakeholder management skills, including communication at CxO level.
- Ability to navigate complex customer organizations, coordinate multiple stakeholders, and drive issues to resolution.
- Structured thinking, flexibility, and strong result orientation.
- Fluent English (required); additional languages may be required based on geography.
Nice to have: experience taking part in commercial negotiations and renewal discussions. Ability to travel for customer meetings and onsite engagements as needed.
What you should expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Berlin
Who are we?
Tripledot
Studios
is one of the largest independent mobile games companies in the world.
We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.
Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.
Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.
We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who
LOVE
making games.
Our ambition is to be the most successful games company in the world, and we’re just getting started.
This will be working at our studio: Tripledot Games
Tripledot Games is a leading developer and publisher of casual and puzzle games, with a strong presence in London, Warsaw and Barcelona. The studio is responsible for multiple top 10 titles including Woodoku, Woodoku Blast, Solitaire and TripleTile.
Our best-in-class data-driven approach spans the entire lifecycle from publishing to machine learning puzzle levels, helping us make fast, smart decisions at every stage of development. We are also one of the largest IAA operators worldwide.
Tripledot Games is a diverse and collaborative studio, home to people from over 36 nationalities. We take pride in our craftsmanship, strong focus on outcomes, and continuous improvement, building high-quality, scalable games that players around the world love.
This role demands exceptional analytical skill, deep technical understanding of the ad ecosystem, and the leadership to align Product, Data, and Engineering teams around monetisation excellence. You’ll combine strategic vision with hands-on optimisation - pushing the boundaries of how ads can drive growth without compromising player experience.
Key Responsibilities
Support the Monetisation Director in shaping and optimising ad monetisation strategy across Tripledot titles, balancing revenue growth with player experience.
Manage the ad monetisation portfolio exceeding $100M annually, delivering growth through data-driven yield optimisation and testing. Oversee ad operations to ensure revenue stability and reliability, with any fluctuations-whether drops or spikes-identified, investigated, and addressed swiftly, accurately, and with high priority.
Own and innovate within the ad tech stack and mediation strategy, adopting new technologies, experimenting with formats, and developing custom tools with engineering.
Analyse performance at scale, turning eCPM, fill rate, and ARPDAU insights into actionable improvements.
Collaborate cross-functionally with Product, UA, BI, and Engineering to design and iterate on ad placements and segmentation.
Lead and manage the monetisation team, driving team effectiveness, setting clear priorities and expectations, supporting individual growth, and fostering strong motivation, ownership, and accountability.
Build and mentor a world-class monetisation team focused on analytics, ad ops, and partner management.
Own relationships with ad partners and networks, ensuring Tripledot remains a leader in ad innovation and compliance.
Required Skills
At least 5 years of hands-on ad monetization experience in mobile gaming.
The ability to lead an analyst team, set direction and help people focus their effort effectively.
Strong people management skills: building an effective, motivated team, coaching and developing team members, and giving clear feedback.
A strong interest in the technical side of ad monetization, with an appetite for testing new approaches and working through experimental results.
A proactive, results-focused approach: you pursue opportunities, question assumptions and follow through on ideas.
A collaborative approach to working with analysts and the Ad Monetization Director.
Benefits
25 days paid holiday
in addition to bank holidays to relax and refresh throughout the year
Hybrid Working
20 days remote working:
Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year.
Regular company events and rewards:
Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit.
Supplemental Health Insurance: Continentale:
Annual budget of 1200 eur - reimbursement for healthcare outside of public plans (glasses, messages, dental treatments etc.)
Public Transportation reimbursement:
100% of public transportation to the office via BVG ticket is covered
Employee Assistance Program:
Access confidential support anytime through our Employee Assistance Program.
Daily Free Lunch:
Order free food from Wolt when at the office
Continuous Professional Development:
Propel your career with continuous opportunities for professional development.
Pension plan
: Opt-in to employer contributed pension plan, operated with Degura
German Classes:
Improve your language skills with access to German classes.
Location: Hamburg
adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.
Running the Engine Behind 200M+ Daily Ad Decisions
Behind every ad decision at adjoe is a system designed to operate at massive scale, serving more than 770 million mobile users every year. The Demand API Integrations team owns the systems that connect our platform to the global adtech ecosystem, handling over 5.5 billion API requests daily across installs, events, views, clicks, and postbacks from Mobile Measurement Partners.
We operate a dedicated A/B testing environment against live traffic to validate system behavior under real-world conditions, allowing us to evaluate advertiser integrations, benchmark partner performance, and verify attribution accuracy end-to-end before deploying globally.
We integrate TensorFlow-based ML models to predict user engagement and purchase likelihood, directly influencing real-time ad distribution. To meet our strict 100ms latency constraint, we prioritize efficient model serving, low-latency data access, and deliberate system design.
Your Mission & Who We Are Looking For
- High-Scale Backend Product Leadership: You will own the roadmap and backlog for the campaign distribution engine that serves over 200 million daily mobile users, balancing rapid business feature requests with long-term platform integrity. We are looking for someone with 5+ years of experience as a Product Lead (preferably in B2B SaaS) managing backend-heavy, high-load systems who can navigate ambiguity and drive product delivery end-to-end.
- Technical & Data Fluency: You will partner daily with software engineers, BI analysts, and data scientists to translate business objectives into functional requirements, assess feasibility, and leverage ML models for campaign optimization. You understand APIs and database architectures (like Druid) well enough to evaluate technical trade-offs, debate implementation details directly with engineers, and translate complex mechanics for commercial stakeholders.
- Hypothesis-Driven Experimentation: You will maximize publisher revenue and campaign matching efficiency by validating product hypotheses before spending engineering capacity. We need a product leader who systematically defines success metrics, runs and evaluates A/B tests, and uses quantitative performance data to either iterate on winning logic or cut underperforming initiatives early.
- People Management & Team Growth: You will lead the Demand Integrations product function, running regular 1-on-1s, driving career planning, and hiring new talent to scale the team. We are looking for an experienced people manager who mentors team members in product thinking, delivery accountability, and commercial ownership.
- Hands-On AI Prototyping: You will accelerate product discovery and requirements definition by building functional proof-of-concepts yourself rather than waiting on dev cycles. You must be fluent enough with modern AI tooling to independently build and demonstrate a working prototype of a feature.
- Pluses (Technical & AdTech Background): Direct experience in the AdTech ecosystem or a formal technical background gives you a head start in understanding our external partner integrations, auction dynamics, and high-throughput data pipelines.
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What’s in It for You?
At adjoe, we are not just managing campaigns, we're helping build the business engine behind one of the fastest-growing adtech platforms in mobile. We are proactively curious: we question status quo, think outside the box, connect the dots. The partnerships you close, the strategies you execute, and the markets you develop will directly shape how adjoe scales globally.
- Go Big. Own commercial initiatives that move revenue and expand adjoe's market position.
- Move Fast. Operate in a high-velocity environment where decisions are made quickly and impact is visible immediately.
- Be Direct. Work in a culture where feedback is honest, collaboration is real, and politics are low.
- Thrive Together. Grow alongside a diverse, global team of 250+ people from over 40 countries across 7 offices.
- Have Fun. Celebrate wins, build lasting industry relationships, and bring your energy to a team that genuinely enjoys what they do.
We welcome applications from people who will contribute to the diversity of our company.
Location: Barcelona
Who are we?
Tripledot
Studios
is one of the largest independent mobile games companies in the world.
We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.
Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.
Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.
We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who
LOVE
making games.
Our ambition is to be the most successful games company in the world, and we’re just getting started.
This will be working at our studio: Tripledot Games
Tripledot Games is a leading developer and publisher of casual and puzzle games, with a strong presence in London, Warsaw and Barcelona. The studio is responsible for multiple top 10 titles including Woodoku, Woodoku Blast, Solitaire and TripleTile.
Our best-in-class data-driven approach spans the entire lifecycle from publishing to machine learning puzzle levels, helping us make fast, smart decisions at every stage of development. We are also one of the largest IAA operators worldwide.
Tripledot Games is a diverse and collaborative studio, home to people from over 36 nationalities. We take pride in our craftsmanship, strong focus on outcomes, and continuous improvement, building high-quality, scalable games that players around the world love.
This role demands exceptional analytical skill, deep technical understanding of the ad ecosystem, and the leadership to align Product, Data, and Engineering teams around monetisation excellence. You’ll combine strategic vision with hands-on optimisation - pushing the boundaries of how ads can drive growth without compromising player experience.
Key Responsibilities
Support the Monetisation Director in shaping and optimising ad monetisation strategy across Tripledot titles, balancing revenue growth with player experience.
Manage the ad monetisation portfolio exceeding $100M annually, delivering growth through data-driven yield optimisation and testing. Oversee ad operations to ensure revenue stability and reliability, with any fluctuations-whether drops or spikes-identified, investigated, and addressed swiftly, accurately, and with high priority.
Own and innovate within the ad tech stack and mediation strategy, adopting new technologies, experimenting with formats, and developing custom tools with engineering.
Analyse performance at scale, turning eCPM, fill rate, and ARPDAU insights into actionable improvements.
Collaborate cross-functionally with Product, UA, BI, and Engineering to design and iterate on ad placements and segmentation.
Lead and manage the monetisation team, driving team effectiveness, setting clear priorities and expectations, supporting individual growth, and fostering strong motivation, ownership, and accountability.
Build and mentor a world-class monetisation team focused on analytics, ad ops, and partner management.
Own relationships with ad partners and networks, ensuring Tripledot remains a leader in ad innovation and compliance.
Required Skills
At least 5 years of hands-on ad monetization experience in mobile gaming.
The ability to lead an analyst team, set direction and help people focus their effort effectively.
Strong people management skills: building an effective, motivated team, coaching and developing team members, and giving clear feedback.
A strong interest in the technical side of ad monetization, with an appetite for testing new approaches and working through experimental results.
A proactive, results-focused approach: you pursue opportunities, question assumptions and follow through on ideas.
A collaborative approach to working with analysts and the Ad Monetization Director.
Benefits
25 days paid holiday
in addition to bank holidays to relax and refresh throughout the year
Hybrid Working:
We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice.
20 days remote working:
Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year.
Regular company events and rewards:
Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit.
Private Medical Cover:
Have peace of mind with private medical cover, ensuring your health is in good hands.
Life & Critical Illness Cover:
Protect your future with our life and critical illness cover.
Family Forming Support:
Receive vital support on your family forming/ fertility journey with our support program [subject to policy]
Employee Assistance Program:
Access confidential support anytime through our Employee Assistance Program.
Sport Compensation:
Stay fit and active with our sport compensation benefit.
Meal and Transport Vouchers:
Save on meals and transport with our convenient vouchers.
English & Spanish Classes:
Enhance your English and Spanish skills with our provided language classes
.
Continuous Professional Development:
Propel your career with continuous opportunities for professional development.
Location: Warsaw
Who are we?
Tripledot
Studios
is one of the largest independent mobile games companies in the world.
We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.
Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.
Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.
We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who
LOVE
making games.
Our ambition is to be the most successful games company in the world, and we’re just getting started.
This will be working at our studio: Tripledot Games
Tripledot Games is a leading developer and publisher of casual and puzzle games, with a strong presence in London, Warsaw and Barcelona. The studio is responsible for multiple top 10 titles including Woodoku, Woodoku Blast, Solitaire and TripleTile.
Our best-in-class data-driven approach spans the entire lifecycle from publishing to machine learning puzzle levels, helping us make fast, smart decisions at every stage of development. We are also one of the largest IAA operators worldwide.
Tripledot Games is a diverse and collaborative studio, home to people from over 36 nationalities. We take pride in our craftsmanship, strong focus on outcomes, and continuous improvement, building high-quality, scalable games that players around the world love.
This role demands exceptional analytical skill, deep technical understanding of the ad ecosystem, and the leadership to align Product, Data, and Engineering teams around monetisation excellence. You’ll combine strategic vision with hands-on optimisation - pushing the boundaries of how ads can drive growth without compromising player experience.
Key Responsibilities
Support the Monetisation Director in shaping and optimising ad monetisation strategy across Tripledot titles, balancing revenue growth with player experience.
Manage the ad monetisation portfolio exceeding $100M annually, delivering growth through data-driven yield optimisation and testing. Oversee ad operations to ensure revenue stability and reliability, with any fluctuations-whether drops or spikes-identified, investigated, and addressed swiftly, accurately, and with high priority.
Own and innovate within the ad tech stack and mediation strategy, adopting new technologies, experimenting with formats, and developing custom tools with engineering.
Analyse performance at scale, turning eCPM, fill rate, and ARPDAU insights into actionable improvements.
Collaborate cross-functionally with Product, UA, BI, and Engineering to design and iterate on ad placements and segmentation.
Lead and manage the monetisation team, driving team effectiveness, setting clear priorities and expectations, supporting individual growth, and fostering strong motivation, ownership, and accountability.
Build and mentor a world-class monetisation team focused on analytics, ad ops, and partner management.
Own relationships with ad partners and networks, ensuring Tripledot remains a leader in ad innovation and compliance.
Required Skills
At least 5 years of hands-on ad monetization experience in mobile gaming.
The ability to lead an analyst team, set direction and help people focus their effort effectively.
Strong people management skills: building an effective, motivated team, coaching and developing team members, and giving clear feedback.
A strong interest in the technical side of ad monetization, with an appetite for testing new approaches and working through experimental results.
A proactive, results-focused approach: you pursue opportunities, question assumptions and follow through on ideas.
A collaborative approach to working with analysts and the Ad Monetization Director.
Benefits
26 days paid holiday
in addition to bank holidays to relax and refresh throughout the year
Hybrid Working
20 days remote working:
Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year.
Regular company events and rewards:
Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit.
Private Medical Cover with Luxmed:
Have peace of mind with private medical cover, ensuring your and your family's health is in good hands.
Daily Free Lunch:
When working in the office order free food from Pyszne.pl
Multisport Plus Card:
Enjoy access to various sports facilities across Warsaw with the Multisport Plus Card.
Employee Assistance Program:
Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
Family Forming Support:
Receive vital support on your family forming/ fertility journey with our support program [subject to policy]
Continuous Professional Development:
Propel your career with continuous opportunities for professional development.
English & Polish Classes:
Improve your language skills with access to English and Polish classes.
Location: New York, NY (HQ); Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
Ramp's Advisory & Services channel is one of the most strategically important growth levers in the business. As an Advisory& Services Partner Development Representative (PDR), you'll be the engine behind acquiring, reactivating, and qualifying the consulting firms, System Integrators (SIs), and advisory practices that refer, implement, or integrate Ramp for their clients.
You'll be holding conversations with partnership heads, business development leads,Managing Directors, and practice leads at consulting firms, ERP implementation shops, and strategic advisory practices - building relationships that turn into signed referral agreements and a pipeline of activated partners that are Ramp champions.
This role is perfect for someone who:
- Is gritty and relentless - comfortable reaching out to firm leaders who are slow to respond and keeps going anyway
- Carries real executive presence and can credibly hold a conversation with a Partner or MD at a top-tier firm
- Has a strong client hand - naturally curious about how consulting and advisory firms serve their clients, and speaks their language
- Thrives when the playbook is still being written and takes ownership of building it
- Embraces AI to augment and automate processes to drive greater efficiencies for workflows
What You'll Do
- Source and qualify net new consulting, advisory, and technology partners that can drive referral pipeline and commercial value to Ramp, focused on firms with active CFO-level client relationships
- Build top-of-funnel pipeline for Channel Partner Managers by qualifying partner candidates against Ramp's tiering criteria and handing off warm, ready-to-activate relationships
- Reactivate dormant services partners across Ramp's existing book of ~400 consulting, technology, and advisory firms - identifying which relationships have gone cold and reigniting them through strategic, senior-level outreach
- Identify and engage system integrators (SIs) and ERP implementation specialists - specifically firms in the NetSuite, Sage Intacct, Dynamics, and Odoo ecosystems - to build Ramp's productized SI implementation program
- Craft outbound messaging and campaigns tailored to services partner archetypes - boutique firms, PE-focused advisory practices, tech consulting firms, and ERP implementation shops
- Maintain accurate partner and opportunity data in Salesforce; track pipeline health across both dormant reactivation and net new acquisition motions
- Leverage AI tools and lightweight automations to scale partner outreach, surface reactivation opportunities, and build repeatable workflows across a high-volume partner book
What You Need
- Grit and drive to run a high-volume, high-quality outbound motion against senior contacts who are hard to reach - and the persistence to keep going
- Executive presence: you can hold a credible conversation with a Partner or Managing Director at a consulting or advisory firm, and they take you seriously
- Deep understanding of how consulting firms go to market, how they serve CXO-level clients, and drive influence
- A client-oriented mindset - you lead with what's in it for the partner's business, not just Ramp's
- Strong written communication skills - outreach that is pithy, credible, and gets responses from senior people at busy firms
- Comfort managing a large, segmented partner book and staying disciplined across long reactivation and qualification cycles
- 1-3 years of experience in partnerships, channel sales, business development, or sales development or as a business analyst in a strategy consulting firm (e.g., McKinsey, Bain, BCG)
- Bachelor's degree from a four-year university
Nice to Haves
- Background at - or selling to - consulting firms, strategy practices, Systems Integrators (SIs) or advisory businesses
- Exposure to ERP ecosystems: NetSuite, Sage Intacct, Microsoft Dynamics, Odoo, or similar implementation partner communities
- Familiarity with how system integrators operate: how they price services, staff implementations, and build revenue relationships with technology vendors
- Experience working in a partner channel that was still being built - first rep in a motion or early team member in a new GTM track
- Background in B2B fintech, SaaS, or financial services
- Familiarity with Salesforce or similar CRM tools
- Hands-on experience using AI tools (specifically Claude Code), building basic automations (bots, workflows, etc.) to drive efficiency in a sales, partnerships, or business development context
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Canada
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Remote, Massachusetts, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran + dbt is seeking a Manager of Security Operations, Incident Detection and Response, to bolster and improve the robustness and security of the platform and the entire enterprise. This people-leadership role is hands-on and execution-focused, requiring deep expertise in security operations, incident detection and response, AI-driven security automation, and securing multi-tenant SaaS environments. You'll build and lead a high-performing team, own the detection and response technology stack, and serve as the accountable leader for incident response across the entire enterprise, ensuring threats are detected, contained, and remediated quickly from endpoint to cloud to production.
This is a full-time remote position based out of the US (EST Time Zone).
Technologies You’ll Use
Crowdstrike, Okta, Google Workspace, Wiz, Open Source, Notion, JIRA
What You’ll Do
People Leadership:
Lead, mentor, and develop a team of detection and response engineers and analysts. Set clear goals, manage performance, and grow careers while fostering a culture of ownership, curiosity, and urgency.
Hiring & Team Building:
Recruit, hire, and onboard top security talent. Define team structure, roles, on-call rotations, and hiring plans to scale the team alongside the business.
Enterprise Incident Response:
Own the incident response program for the entire enterprise, including investigation, containment, eradication, remediation, and post-incident review. Act as incident commander for major security events and coordinate with Legal, Privacy, Communications, and executive leadership.
Detection Engineering:
Build, optimize, and maintain high-fidelity detections across cloud, identity, endpoint, SaaS, and application layers, using threat-informed approaches such as MITRE ATT&CK to close coverage gaps.
AI-Driven Security Operations:
Drive the adoption of AI, including LLMs and AI agents, to automate alert triage, enrichment, investigation, and response. Evaluate and integrate AI capabilities to scale the team, and build detections for threats targeting AI systems and AI usage across the enterprise.
Multi-Tenant SaaS Security:
Design detection and response strategies tailored to a multi-tenant SaaS platform, including tenant isolation, cross-tenant access, and customer data protection. Lead customer-impacting incident response and coordinate customer notifications.
Security Technology Ownership:
Own the security operations technology stack, including SIEM, SOAR, EDR/XDR, cloud detection and response, and log pipelines. Manage the roadmap, budget, and vendor relationships.
Threat Hunting & Intelligence:
Lead proactive threat hunting and integrate threat intelligence to identify and mitigate emerging threats before they impact the business.
Cross-Team Collaboration:
Work directly with engineering, infrastructure, IT, application security, and GRC teams to integrate detection and response practices and remediate risks across build pipelines, runtime environments, and corporate systems.
Tooling & Automation:
Develop and maintain automation, playbooks, and integrations to streamline security processes and provide self-service security tools to the organization.
Security Standards & Metrics:
Implement consistent security controls, monitoring, and alerting across the enterprise. Define and report on key metrics such as mean time to detect (MTTD) and mean time to respond (MTTR), and support compliance requirements.
Knowledge Sharing:
Stay up to date with trends in security operations, incident response, cloud security, and AI security, applying this knowledge to improve the Fivetran platform's security posture.
Skills We’re Looking For
Security Operations & Incident Response Expertise:
Deep expertise in detecting, investigating, and responding to security incidents, with a track record of leading enterprise-wide incident response.
People Management:
Proven experience managing, hiring, and developing security teams, including setting priorities, managing performance, and building a strong team culture.
Multi-Tenant SaaS Experience:
Extensive experience securing and responding to incidents in multi-tenant SaaS environments at scale, with a strong understanding of tenant isolation and customer data protection.
AI Proficiency:
Hands-on experience applying AI, including LLMs and AI agents, to security operations to automate detection, triage, and response, and a strong understanding of the risks AI introduces.
Cloud & Infrastructure Security:
Strong experience with cloud platforms (e.g., AWS, GCP, Azure), Kubernetes, and containerized environments, including cloud-native logging and detection.
Detection & Response Tooling:
Proficiency with SIEM, SOAR, EDR/XDR, identity, and cloud detection tools, and experience integrating them into automated workflows.
Technology Ownership:
Experience owning a security technology roadmap, including tool selection, budgets, and vendor management.
Problem-Solving:
Excellent problem-solving and troubleshooting skills, with the ability to make sound decisions under pressure in fast-paced environments.
Communication:
Strong communication skills with the ability to effectively collaborate with and educate engineering teams, and to communicate clearly with executives and customers during incidents.
Curiosity & Urgency:
Demonstrates strong curiosity, a sense of urgency, and a hands-on approach to diving deep into complex technical problems to drive timely and effective solutions.
#LI-Remote
#LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
$186,701
—
$233,376 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Remote, New York, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran + dbt is seeking a Manager of Security Operations, Incident Detection and Response, to bolster and improve the robustness and security of the platform and the entire enterprise. This people-leadership role is hands-on and execution-focused, requiring deep expertise in security operations, incident detection and response, AI-driven security automation, and securing multi-tenant SaaS environments. You'll build and lead a high-performing team, own the detection and response technology stack, and serve as the accountable leader for incident response across the entire enterprise, ensuring threats are detected, contained, and remediated quickly from endpoint to cloud to production.
This is a full-time remote position based out of the US (EST Time Zone).
Technologies You’ll Use
Crowdstrike, Okta, Google Workspace, Wiz, Open Source, Notion, JIRA
What You’ll Do
People Leadership:
Lead, mentor, and develop a team of detection and response engineers and analysts. Set clear goals, manage performance, and grow careers while fostering a culture of ownership, curiosity, and urgency.
Hiring & Team Building:
Recruit, hire, and onboard top security talent. Define team structure, roles, on-call rotations, and hiring plans to scale the team alongside the business.
Enterprise Incident Response:
Own the incident response program for the entire enterprise, including investigation, containment, eradication, remediation, and post-incident review. Act as incident commander for major security events and coordinate with Legal, Privacy, Communications, and executive leadership.
Detection Engineering:
Build, optimize, and maintain high-fidelity detections across cloud, identity, endpoint, SaaS, and application layers, using threat-informed approaches such as MITRE ATT&CK to close coverage gaps.
AI-Driven Security Operations:
Drive the adoption of AI, including LLMs and AI agents, to automate alert triage, enrichment, investigation, and response. Evaluate and integrate AI capabilities to scale the team, and build detections for threats targeting AI systems and AI usage across the enterprise.
Multi-Tenant SaaS Security:
Design detection and response strategies tailored to a multi-tenant SaaS platform, including tenant isolation, cross-tenant access, and customer data protection. Lead customer-impacting incident response and coordinate customer notifications.
Security Technology Ownership:
Own the security operations technology stack, including SIEM, SOAR, EDR/XDR, cloud detection and response, and log pipelines. Manage the roadmap, budget, and vendor relationships.
Threat Hunting & Intelligence:
Lead proactive threat hunting and integrate threat intelligence to identify and mitigate emerging threats before they impact the business.
Cross-Team Collaboration:
Work directly with engineering, infrastructure, IT, application security, and GRC teams to integrate detection and response practices and remediate risks across build pipelines, runtime environments, and corporate systems.
Tooling & Automation:
Develop and maintain automation, playbooks, and integrations to streamline security processes and provide self-service security tools to the organization.
Security Standards & Metrics:
Implement consistent security controls, monitoring, and alerting across the enterprise. Define and report on key metrics such as mean time to detect (MTTD) and mean time to respond (MTTR), and support compliance requirements.
Knowledge Sharing:
Stay up to date with trends in security operations, incident response, cloud security, and AI security, applying this knowledge to improve the Fivetran platform's security posture.
Skills We’re Looking For
Security Operations & Incident Response Expertise:
Deep expertise in detecting, investigating, and responding to security incidents, with a track record of leading enterprise-wide incident response.
People Management:
Proven experience managing, hiring, and developing security teams, including setting priorities, managing performance, and building a strong team culture.
Multi-Tenant SaaS Experience:
Extensive experience securing and responding to incidents in multi-tenant SaaS environments at scale, with a strong understanding of tenant isolation and customer data protection.
AI Proficiency:
Hands-on experience applying AI, including LLMs and AI agents, to security operations to automate detection, triage, and response, and a strong understanding of the risks AI introduces.
Cloud & Infrastructure Security:
Strong experience with cloud platforms (e.g., AWS, GCP, Azure), Kubernetes, and containerized environments, including cloud-native logging and detection.
Detection & Response Tooling:
Proficiency with SIEM, SOAR, EDR/XDR, identity, and cloud detection tools, and experience integrating them into automated workflows.
Technology Ownership:
Experience owning a security technology roadmap, including tool selection, budgets, and vendor management.
Problem-Solving:
Excellent problem-solving and troubleshooting skills, with the ability to make sound decisions under pressure in fast-paced environments.
Communication:
Strong communication skills with the ability to effectively collaborate with and educate engineering teams, and to communicate clearly with executives and customers during incidents.
Curiosity & Urgency:
Demonstrates strong curiosity, a sense of urgency, and a hands-on approach to diving deep into complex technical problems to drive timely and effective solutions.
#LI-Remote
#LI-AM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
$186,701
—
$233,376 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: (Multiple States), United Kingdom
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), Germany
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), France
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), Ireland
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), Spain
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), Portugal
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: (Multiple States), Netherlands
About Improvado
Improvado is a marketing data and AI analytics platform for enterprise brands and agencies. We connect 500+ marketing and sales data sources, normalize them through a governed data model, and put an AI agent on top so marketing teams can ask questions of their own data without going through BI or IT.
What we sell:
extraction and 500+ connectors; data transformation (SQL and dbt-compatible); Marketing Data Governance — taxonomy, naming, data-quality rules; warehouse and storage; dashboards; AI agent and MCP access to live marketing data; DECS, data engineering as a service on a 2 to 4 week SLA.
Who buys it:
Economic buyers:
CMO, VP Marketing, VP Demand Gen, agency COO and ops leadership
Technical evaluators:
VP or Director of Marketing Analytics, marketing analysts, data engineering, sometimes IT and security
Segments:
enterprise brands, mid-market, agencies
Verticals:
pharma and healthcare, financial services, retail and eCommerce, gaming, agencies
Why this role, now
Our messaging is not aligned.
Positioning, web, sales pitch, product and content each carry a different version of what Improvado is. The market categorizes us as "marketing ETL" while we position as an AI marketing analytics platform. That gap costs us deal quality and price.
The category is crowded and moving fast.
Battlecards exist but decay, and nobody owns keeping them true.
Attribution, incrementality and causal measurement is where deals are won and lost
— and it is the hardest thing to argue credibly without hand-waving.
Analyst firms are a silent blocker.
When an enterprise buyer asks Gartner or Forrester about Improvado, there is no briefed narrative waiting for them.
You would not start from a blank page. We already have a positioning registry, roughly 11 documented buyer personas, a pain-point and value-prop library, competitor intel reports and about 10 battlecards. They are inconsistent and under-used. Your first job is to make one version true and make people use it.
What you'll own
Positioning and messaging.
Core positioning, category framing and message hierarchy across ICPs and personas. ICP and persona documentation that is used, not filed. The messaging layer of new product and feature launches, including the internal rollout that makes the field able to sell it.
Competitive intelligence and win/loss.
A structured win/loss interview program with quarterly readouts. Living battlecards. Monitoring competitor positioning, pricing and product moves, and driving our counter-positioning.
Sales enablement.
The core pitch narrative, demo storyline and objection-handling framework. The messaging components of new-rep onboarding. A standing weekly cadence with Sales leadership — not quarterly check-ins. Direct support on competitive and enterprise deals: RFPs, security and technical evaluations, displacement plays.
Market and analyst relations.
The Improvado narrative for Gartner, Forrester and category influencers, so that a buyer's analyst call becomes an accelerator rather than a blocker. Feeding structured market and buyer insight back into product prioritization.
What we're looking for
4 to 8 years in product marketing, or an equivalent blend of product marketing with marketing analytics, marketing or data ops, sales engineering, analytics consulting, or product management on a data product.
Category fluency in marketing data and measurement: attribution models, incrementality testing, MMM, data governance and taxonomy, warehouses and ETL/ELT — including where each is honestly weak.
B2B SaaS sold to marketing or data buyers. Marketing analytics, martech, measurement, CDP, BI and data-infrastructure vendors are the reference profile.
Proof you have shipped, not just documented: positioning that changed the website and the pitch, battlecards reps actually opened, a win/loss program that survived past its second quarter.
Writing that survives contact with a skeptical technical buyer — claim and evidence, not adjective stacking.
Comfort operating close to Sales: weekly cadence, deal reviews, live calls, direct feedback.
Nice to have:
hands-on SQL, dbt or BI, enough to validate a claim yourself. Experience marketing AI capabilities without hype. Analyst-relations experience. Agency-side or enterprise-brand background. Vertical depth in pharma and healthcare, financial services, retail and eCommerce, or gaming.
Not a fit if:
your product marketing has been mostly launch logistics and content calendars; you need a fully staffed team and a finished brand system to be effective; you are uncomfortable being told in a deal review that your messaging did not work.
How we measure success
Win rate in competitive deals against our top 3 named competitors, baseline set in month 1.
Stage-to-stage conversion on open opportunities, particularly discovery to demo to proposal.
Time-to-first-deal for new reps.
Field adoption of enablement assets — measured, not assumed.
Win/loss program running on cadence, with themes that visibly change product and GTM decisions.
Message consistency: a quarterly audit across web, deck, product UI and content.
What We Offer
Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement
Location: Poland
Workplace: remote
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for an experienced AI Tech Lead with a strong .NET engineering background and hands-on expertise in building production-grade AI solutions.In this role, you will lead the technical direction of an AI engineering team responsible for designing, developing, and operating intelligent capabilities within the Creatio platform.You will work on the AI agent platform that enables AI agents to safely perform real work within enterprise workflows — interacting with tools and APIs, accessing business data, maintaining context and memory, enforcing permissions, and collaborating with humans when needed.This is a hands-on technical leadership role that combines software architecture, advanced AI engineering, team mentorship, and active involvement in development.We are looking for someone who can make architectural decisions, solve complex engineering challenges, introduce modern AI development practices, and help the team deliver reliable, secure, and scalable AI-powered solutions.Responsibilities:Lead the development of architectural solutions, including AI-powered features, agentic workflows, RAG-based solutions, and LLM integrations.Drive continuous optimization of development processes; introduce modern tools, AI-assisted development practices, engineering standards, and quality improvements.Facilitate team ceremonies: backlog refinements, sprint planning, and sprint reviews (demos).Take an active part in backlog execution: pair programming, complex development, code reviews, and mentoring.Collaborate closely with stakeholders and product managers to define technical direction and translate business requirements into technical solutions.Guide the design and implementation of AI agent architectures, including tool calling, orchestration, context and memory management, permissions, and guardrails.Ensure high quality through automated testing, AI evaluations, observability, and continuous monitoring of production AI solutions.Monitor and guide incident response (4th-line support), ensuring SLA compliance and issue resolution.Actively contribute to knowledge sharing, team development, and continuous improvement.Requirements: Must have:6+ years of professional software engineering experience, with strong expertise in C# and .NET.3+ years of experience in a Tech Lead or Team Lead role, including architectural decision-making, technical ownership, and mentoring.Hands-on experience building and delivering LLM-powered applications to production.Strong understanding of AI agent architectures, including tool calling, orchestration, context management, and agent frameworks.Knowledge of prompt engineering, AI evaluations, observability, and AI security best practices.Proficiency with AI coding agents (Claude Code, Cursor, Codex, or similar tools) in daily development.Strong knowledge of software architecture, distributed systems, REST APIs, and backend engineering principles.Experience with relational databases, automated testing, CI/CD, and cloud-native development.English level: Upper-Intermediate or higher, with strong communication, leadership, and problem-solving skills.Nice to have:Experience with MCP, multi-agent systems, and advanced agent orchestration.Practical experience with RAG, embeddings, vector/hybrid search, and LLM integrations.Knowledge of LLMOps practices, including evaluation pipelines, monitoring, and cost optimization.Experience with AI platforms such as Anthropic API, Azure OpenAI, AWS Bedrock, or Google Vertex AI.Python experience for AI development, prototyping, or automation.Experience with Kubernetes, enterprise SaaS products, or low-code/no-code platforms.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Warsaw
Workplace: hybrid
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for a proactive, curious, and results-driven Non-Technical Sourcer to join the Talent Acquisition team at Creatio. This role is a great fit for someone who enjoys researching talent across business functions, actively uses AI tools in day-to-day work, and wants to develop international sourcing expertise. The primary focus will be identifying and engaging candidates for a broad range of non-technical roles.The role is based in Poland.Responsibilities:Source candidates across non-technical functions, such as Marketing, Finance, HR, Operations, Customer Success, and other business teams, depending on hiring needs.Adapt research and outreach strategies to different business functions, candidate profiles, and markets.Source candidates across different seniority levels, from junior specialists to senior and leadership roles.Build and maintain targeted talent pipelines for current and future hiring needs.Develop and continuously improve sourcing strategies for challenging and niche roles.Actively use AI tools such as ChatGPT, Claude, and other sourcing/research tools to improve candidate research, market mapping, personalization, and sourcing efficiency.Experiment with new AI-powered approaches and bring ideas on how to make sourcing faster, smarter, and more scalable.Identify and engage passive candidates through highly personalized outreach and follow-ups.Conduct talent mapping and market research to understand candidate availability, competitor landscapes, and hiring trends.Partner closely with Talent Acquisition Specialists to understand hiring needs, target profiles, and sourcing priorities.Review and evaluate candidate profiles and resumes against role requirements.Conduct initial screening conversations to assess candidates’ experience, motivation, English level, and overall fit.Use LinkedIn Recruiter, job boards, professional communities, Boolean/X-Ray search, databases, and other relevant sourcing channels.Maintain accurate and up-to-date candidate information in the ATS.Requirements:Experience sourcing non-technical or business-function roles and ability to adapt to different candidate profiles.At least 6 months of hands-on sourcing experience; experience with international markets is a strong advantage.Strong interest in AI and demonstrated experience using AI tools in sourcing, recruiting, research, or everyday workflows.Curiosity and willingness to experiment with new tools, sourcing techniques, and automation.Strong English communication skills, both written and spoken, for daily interaction with international candidates and stakeholders.Strong research skills and the ability to identify relevant talent across different markets and industries.Confidence using LinkedIn Recruiter and other professional networks for proactive candidate sourcing.Ability to write personalized and engaging outreach messages.Strong attention to detail, organization, and time-management skills.Ability to work independently while collaborating closely with the wider Talent Acquisition team.A proactive mindset, willingness to learn, and motivation to continuously improve.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
leadBerlin
lead🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team
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