Location: Remote, Canada
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
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About the role
As an Intermediate Backend Engineer, you will take backend features and improvements from clarifying the problem through shipping them and following up in production. You will work within a product area, partnering with Product Management, Frontend, Infrastructure, and Security to deliver predictably and contribute to the quality, security, performance, and maintainability of shared backend code and services. You will be trusted to work with minimal guidance, to know when to seek help, and to communicate clearly in a remote, asynchronous environment — with other tenured engineers alongside you to review your work, think through hard problems with you, and help you grow.
Why you’ll love this role
Ownership:
You'll take features from requirements through delivery and follow-up; your code will run on a platform used by millions of users.
Learning and Growth :
You’ll work alongside your engineering team, who treat code review and design review as a learning loop rather than a gate — one of the fastest ways to grow your engineering judgment.
Innovative Culture:
You’ll use AI as a genuine part of daily engineering work, developing the judgment to know when to trust it and when not to.
Autonomy:
You’ll thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success.
User-Centric Collaboration:
You’ll partner closely with PMs and designers to shape requirements, so you understand why you’re building something, not just what.
What you’ll do
Own and Ship Features:
Design, implement, test, and ship backend features and improvements with minimal guidance, working in Ruby/Rails, Go, or any other modern languages.
Build for Production:
Write maintainable, secure, observable, and performant code. Design and maintain APIs, background jobs, integrations, and bounded service functionality, and work with data models, migrations, indexes, and query behavior.
Test and Review:
Add and improve automated coverage — unit, integration, contract, and end-to-end where appropriate — and review others’ code for correctness, maintainability, security, performance, and operational risk.
Operate What You Build:
Investigate build, test, deployment, and runtime failures at the feature boundary, identify technical debt and propose practical improvements, and take part in on-call or operational support where your team’s ownership model requires it.
Leverage AI:
Use AI productively in daily work, validate what it produces, and understand where its limitations matter.
What you’ll bring
Backend Fundamentals:
Professional experience building and shipping production backend applications, with strong programming, API, database, testing, debugging, and performance fundamentals.
Adaptability:
Experience with Ruby/Rails, Go, or any other modern backend language. We value the ability to learn and adapt over mastery of a single language.
Feature Ownership:
The ability to take a feature from clarification through delivery and follow-up, working independently while seeking input at the right time.
Practical Judgment:
Sound instincts about security, reliability, performance, maintainability, and operational risk, plus an understanding of modular backend boundaries and the consequences of coupling.
Clear Communication:
Strong written communication and effective collaboration in a remote, asynchronous environment.
AI Fluency:
Practical experience with AI coding tools, including the ability to review and correct what they generate.
Helpful experience
Production Go services, APIs, concurrency, profiling, or gRPC.
Docker, Kubernetes, Helm, CI/CD, or cloud deployment.
Rust, particularly for systems, security, performance, or platform work.
PostgreSQL, schema evolution, caching, queues, messaging, or event-driven workflows.
Observability using metrics, logs, traces, dashboards, and alerts.
Contributing to a modular monolith, bounded context, shared component, or independently operated service.
Remote-Global
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
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GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
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GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
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Location: Argentina
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
We're looking for a Staff Product Designer to lead design across the Content and Localization teams on our Build pillar. You’ll help shape Source by Webflow https://webflow.com/blog/introducing-source-by-webflow, our new platform where marketing teams and agents build and optimize digital experiences together. Source is where the hard work of web marketing happens: scaling what works, driving impact with every iteration, and keeping brand and content consistent as teams and agents move at speed.
You'll own the Agentic CMS experience: a next-generation content layer that enables enterprise teams to manage content and deliver it across every site, channel, and AI agent they operate. This work spans the full content lifecycle, from authoring and governance to localization and publishing. This is a role for someone who thinks in systems, sweats the details, and gets excited about making complex content infrastructure feel simple — so marketers can move fast, agents can operate reliably, and every experience a brand ships stays coherent and on point.
ABOUT THE ROLE:
- Location: Remote-first (Argentina)
- Permanent, full-time employee (this is not a contractor position)
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for a new position.
As a Staff Product Designer you’ll …
- Own the Agentic CMS experience end-to-end, from early discovery and UX strategy through prototyping, detailed execution, and making sure what we ship is great. Define how enterprise marketing teams author, organize, govern, and publish content across multiple sites and channels — and how that experience holds together as a coherent system, from the visual authoring surface to publishing workflows to localization.
- Design for both humans and agents. Build surfaces that work for marketing teams operating at scale and for AI agents querying and composing against structured content, with the right controls, transparency, and trust signals for each.
- Think in systems. The CMS touches nearly everything Webflow's enterprise customers do. Hold a coherent experience model across interconnected surfaces while making individual flows feel simple and obvious.
- Work upstream. Partner with PMs, engineers, and researchers to shape what gets built. Align on content models, API affordances, and product strategy before pixels get pushed.
- Raise the bar — in craft, process, and how you use AI to move faster without sacrificing quality. Present work to cross-functional partners and senior leaders, and bring a point of view on how the CMS connects to the broader Webflow platform.
ABOUT YOU:
Requirements:
- BA/BS degree or equivalent experience
- 7+ years of product design experience with a portfolio showing recent, substantive work navigating ambiguous problems within complex products. You know how to make something complex feel obvious to the people using it. Experience with content systems, multi-user workflows, and agentic experiences is especially relevant.
- Systems thinking at scale. You've designed for interconnected surfaces where decisions in one place ripple across others, and
- Comfort with technical depth. You can engage meaningfully with engineers on API design, data modeling, and content architecture to ensure design and systems decisions are aligned.
- Strong interaction and visual design craft, with fluency in AI-assisted workflows — prototyping in code, using AI tools to explore and communicate ideas faster, and comfort working where the line between design and production is increasingly blurry.
You’ll thrive as a Staff Product Designer if you:
- Can hold a long-horizon systems problem and still ship focused, high-quality work in the near term.
- Communicate with precision and can influence product strategy and present tradeoffs to senior stakeholders without losing the room.
- Combine strong craft with the humility to test your assumptions early and often.
- Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life.
WHOOP is hiring a Senior Analyst to join the Commercial Analytics team and serve as a key analytics partner to our Digital Commerce business. In this role, you will own analysis and reporting across our direct-to-consumer and marketplace channels, translating data into insights that inform pricing, promotions, merchandising, and product strategy. You will help us understand what drives bookings, conversion, and margin across our digital storefronts and partner closely with Marketing Analytics to connect acquisition and traffic trends to downstream commercial performance.
RESPONSIBILITIES:
- Serve as a key analytics partner to the Digital Commerce team, analyzing performance across direct-to-consumer and marketplace channels to identify opportunities that drive bookings, conversion, and margin growth.
- Own analysis of digital pricing and promotions, including incrementality, cannibalization, discount depth, and pull-forward, to inform promotional strategy and investment decisions.
- Analyze funnel and conversion performance, merchandising, product mix, attach rate, and average order value to understand the drivers of digital commerce performance and identify opportunities for growth.
- Own marketplace performance analysis, evaluating channel economics, assortment, pricing, and customer behavior across marketplaces and our direct-to-consumer business.
- Build scalable reporting and analytical tools that give Digital Commerce leadership visibility into channel performance, partnering with Analytics Engineering to ensure data is accurate, consistent, and trusted.
- Support commercial planning and forecasting by developing Digital Commerce inputs and channel-level drivers, and partner with Marketing Analytics to connect acquisition and traffic trends to downstream commercial outcomes.
QUALIFICATIONS:
- 4+ years of experience in analytics, business intelligence, or a related discipline, ideally within e-commerce, direct-to-consumer, marketplace, subscription, or consumer products businesses.
- Strong SQL skills and experience working with large-scale transactional and behavioral data, with the ability to independently move from a business question to analysis, insight, and recommendation.
- Demonstrated experience building reporting and analytical tools that enable stakeholders to understand performance and make informed business decisions.
- Strong business acumen and experience partnering with e-commerce, commercial, merchandising, or other business stakeholders, with the ability to synthesize complex data into clear recommendations and actions.
- Experience with digital commerce analytics, including funnel and conversion analysis, pricing and promotional measurement, merchandising, product mix, or marketplace performance.
- Familiarity with experimentation and incrementality measurement, digital analytics or clickstream data, and business intelligence tools such as Sigma is a plus.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $120,000 - $155,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Warsaw, Poland
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
At DoorDash International, we're building the future of local commerce across some of Europe's leading delivery businesses, including Wolt and Deliveroo. Our teams work across brands and markets to identify opportunities, build scalable solutions and turn global capabilities into meaningful local impact.
Why Join Us?
At DoorDash International, execution drives impact. We combine the scale and technology of a global platform with a deep understanding of our local markets. You'll work across Wolt and Deliveroo, partnering with teams throughout EMEA markets to solve complex business problems and scale what works.
If you're passionate about using data to identify growth opportunities, turning insights into action and working across markets to drive measurable business impact, this is an opportunity to help shape how we grow our Restaurant business through better menus.
What you'll be doing
We are seeking a Menu Growth Senior Specialist to support Restaurant growth by improving restaurant Menu Performance and driving adoption of menu-related growth initiatives across EMEA.
Menus are a critical part of the customer and merchant experience. Their quality, completeness and use of growth features can influence customer choice, basket size and overall merchant performance.
You will work closely with the Menu Growth Manager to analyze menu performance, identify opportunities and translate insights into concrete initiatives. You will take end-to-end ownership of defined workstreams, such as Menu Completeness, and work with local Account Management and Merchant Operations teams to execute them across markets and measure their impact.
This is a hands-on Strategy & Operations role combining analytics, project management and stakeholder collaboration. You will independently drive your initiatives from analysis through execution and performance tracking, while partnering with the Menu Growth Manager and Consumer Teams on broader strategy and prioritization.
Day-to-day in this role you'll:
Menu Growth Analysis (~30%)
Analyze consumer needs around menu, merchant and business performance to identify gaps and growth opportunities.
Use SQL, Snowflake, spreadsheets and dashboards to investigate performance and support data-driven decision-making.
Work with the Menu Growth Manager to turn insights and hypotheses into concrete initiatives.
Track key metrics including and identify markets or merchant segments requiring additional focus.
Support impact measurement and experimentation to understand which interventions improve merchant and business outcomes.
Prepare clear analyses and recommendations that help EMEA and local teams make informed decisions.
Initiative Execution (~45%)
Own defined Menu Growth initiatives end-to-end, from planning through market rollout and performance tracking.
Support the rollout and adoption of EMEA initiatives
Translate initiatives into clear execution plans, timelines, materials and actions for participating markets.
Track progress against agreed targets and proactively identify execution gaps or blockers.
Coordinate follow-ups with local teams and support them in implementing agreed actions.
Measure results, document learnings and recommend improvements together with the Menu Growth Manager.
Help scale successful approaches and best practices across EMEA markets.
Market & Stakeholder Collaboration (~25%)
Work closely with local Account Management and Merchant Operations teams and their leaders across EMEA.
Support markets in understanding menu performance gaps and translating insights into concrete actions.
Build strong relationships with local stakeholders to drive adoption and execution of Menu Growth initiatives.
Gather structured market feedback and use it to improve future initiatives.
Coordinate with Analytics and Product when initiatives require additional data, insights or tooling support.
Share successful approaches and learnings across markets to accelerate adoption and reduce duplicated effort.
Our humble expectations
2–4 years of experience in Strategy & Operations, Business Operations, Marketplace/Commercial Operations or a comparable analytical role.
Strong analytical and structured problem-solving skills, with the ability to turn data into actionable recommendations.
Comfortable working with large datasets, SQL/Snowflake, Excel/Google Sheets and BI/dashboarding tools.
Familiarity with hypothesis-driven problem solving, experimentation and A/B testing principles.
First project management experience, with the ability to independently drive defined initiatives from analysis through execution.
A commercial mindset and curiosity about how merchant and customer behavior translates into business growth.
Strong stakeholder-management skills and a proactive, action-oriented approach to driving execution across teams and markets.
Fluent business English; experience in marketplaces, food delivery, e-commerce or high-growth tech is a plus.
What we offer
A fast-growing tech company with lots of career opportunities, both locally and internationally;
Employee Assistance Programme - therapy and wellbeing;
Employee discount on all Wolt orders;
Next steps
If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going!
We will be reviewing applications on an ongoing basis, so if this sounds like an opportunity you want to pursue, apply today!
The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions.
This position is not eligible for consideration for an equity/RSU grant.
Pay Range:
10 002 zł
—
12 502 zł PLN
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: Remote USA
Workplace: remote
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
ABOUT THE ROLE
The Xsolla Offerwall puts rewarded offers in front of players inside the games and apps of our publishers. A player opens the wall, picks an offer, completes it, and earns in-game currency. Whether they do depends on what they see: the offer card, the creative, the video, the playable, and the reward moment.
Those units come from several places. Some are native offers we render ourselves. Some arrive as VAST video, HTML or MRAID creatives, or OpenRTB Native assets from demand partners. Each format has its own rules, and each one has to look right in a publisher's game, on a phone, without breaking what the advertiser sent.
You'll own how offerwall ads look and perform. You'll decide which formats we support and how they render. You'll design what the player sees, and turn that into specs engineers can build from. You'll measure whether a change made players more likely to engage, and you'll use AI to make better creative faster than a manual process allows.
RESPONSIBILITIES
Ad experience and creative
Own the look and feel of every ad unit in the offerwall: offer cards, detail pages, video, playables, interstitials, and the reward flow.
Set creative standards for advertisers and publishers: layouts, asset specs, safe areas, aspect ratios, and branding rules.
Balance three groups who want different things: players want a clean experience, publishers want it to match their game, and advertisers want their brand shown properly.
oRTB formats and rendering
Define how we support VAST, HTML and MRAID, and OpenRTB Native inside the offerwall, across Web, iOS, Android, and Unity.
Write the requirements for format support: which VAST events we track, which MRAID calls we allow, and how Native assets map into our own templates.
Work with Engineering on creative QA and rejection rules, so broken or non-compliant creatives get caught before a player sees them.
Design to engineering
Turn ideas into Figma designs and prototypes that engineers can build without guessing.
Write PRDs and acceptance criteria that cover states, edge cases, and device differences, not just the happy path.
Work with our designers on the offerwall's design system, and keep it consistent across publishers and platforms.
Experimentation and performance
Run A/B tests on layouts, creative treatments, and formats, and read the results yourself.
Track the metrics that show whether the ad experience works: CTR, video completion rate, offer start and completion rates, IPM, and eCPM.
Turn what you learn into a prioritized roadmap, and explain the tradeoffs to Engineering, Demand, and leadership.
AI in creative and workflow
Find where AI can improve ad units: generating creative variants, adapting assets to new formats, auto-cropping and localization, and checking creative quality.
Use AI tools in your own work: prototyping, writing specs, analyzing test results, and getting from idea to something testable faster.
Cross-functional work
Work with Engineering, Design, Demand, Publisher Success, and Data every week.
Give the Demand team clear creative guidelines they can share with advertisers.
Bring what publishers and advertisers say back into the roadmap, in a form engineers can act on.
WHAT YOUR WEEK LOOKS LIKE
A demand partner starts sending VAST wrappers that time out on Android. You look at the VAST chain, work out where it's slow, and agree a timeout and fallback rule with Engineering.
Offer completion rates on one publisher are 30% below the network average. You compare their wall against others, find the reward value is hidden below the fold on smaller phones, and mock up a fix in Figma that afternoon.
An advertiser wants to run a playable in the offerwall. You check what their MRAID creative needs, decide what we'll support, and write the spec.
You use an AI image model to generate 20 variants of an offer card's hero image, test four of them, and share the winner and the lift with the team.
Engineering asks how Native title and icon assets should behave when an advertiser sends nothing. You answer the same day, with the rule written into the spec.
QUALIFICATIONS & SKILLS
Around 5 years of product management experience, with a significant part of it in AdTech.
Hands-on experience owning ad design or ad experience: ad units, creative formats, or how ads render in an app or game.
Working knowledge of oRTB ad formats. You know how VAST, HTML and MRAID, and OpenRTB Native creatives work, what breaks them, and what the specs allow.
Comfortable with data. You can design an A/B test, read the result, and write SQL or use a BI tool to answer your own questions.
You write clear specs. Engineers should be able to build from what you write without coming back to ask what you meant.
Good visual judgment. You can tell why one layout works and another doesn't, and explain it in terms of player behavior.
Clear communication with engineers, designers, and commercial teams.
Based in Los Angeles or elsewhere in the US, and able to work across US time zones.
Nice to have:
Experience working with AI. This one matters a lot to us. Show us how you've used AI tools such as Claude, Midjourney, or Figma AI to make ads, prototype products, or get more done. Come ready to show a real example.
Experience with offerwalls, rewarded ads, or rewarded video.
Experience designing in Figma: building prototypes and engineering-ready designs yourself, not just reviewing someone else's.
Experience in mobile gaming or app monetization.
Familiarity with ad SDKs, mediation, and how they render third-party creatives.
HOW SUCCESS IS MEASURED
Offerwall engagement improves: higher CTR, offer start rate, and completion rate, backed by test results rather than claims.
The formats we support render correctly across platforms, and creative rejections and rendering bugs go down.
Engineering builds from your specs and designs without long back-and-forth.
Advertisers and publishers have clear creative guidelines, and the Demand team uses them.
AI is part of how the team makes and tests creative, not a side experiment.
COMPENSATION
BENEFITS
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play.
EQUAL EMPLOYMENT OPPORTUNITY STATEMENT
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
CRIMINAL HISTORY CONSIDERATION
For the Product Manager, Offerwall Ad Experience, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
RELEVANCE TO JOB RESPONSIBILITIES
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
RIGHTS UNDER THE FAIR CHANCE ACT
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: London, United Kingdom
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
About the Team
DoorDash’s mission is to grow and empower local economies. By building intelligent, last-mile delivery technology for local cities, DoorDash connects people with the local businesses they care about — helping grow businesses and the communities that support those businesses. At DoorDash, there are three audiences that are at the core of every decision we make - our Consumers, Merchants, and Couriers. The Research team has a direct link to uncover the unmet needs and pain points of each of these audiences. We bring their voices into the business in order to help set the strategic vision for all of DoorDash’s current and future products.
About the Role
We’re looking for a
Principal Researcher
to be a strategic research leader for EMEA, shaping what DoorDash builds next. You’ll combine deep expertise in qualitative and quantitative methods to find the unmet needs, behavioral shifts, and market openings that point to new products and new growth. You’ll work as a peer to senior product, design, engineering, data science, and business leaders, and your work will directly inform roadmaps, investment decisions, and company-level strategy.
This role is built for a seasoned researcher who is equally comfortable in a living room interview, a survey dataset, and a leadership review, and who uses AI as a daily tool to move faster and see further, without giving up the judgment that makes research trustworthy. You’ll also raise the bar for the wider research practice by mentoring researchers, sharing methods, and helping the team define what great looks like in an AI-enabled era.
What You’ll Be Doing
Shape Product Strategy:
Translate deep understanding of Consumers, Merchants, and Couriers into a clear point of view on where DoorDash should play and win. You’ll frame the highest-stakes questions, bring evidence to roadmap and investment debates, and influence decisions at the director and executive level.
Detect New Opportunities:
Proactively identify emerging needs, behavior changes, and white space that point to new products, new verticals, and new growth levers. You’ll size and validate opportunities with a mix of foundational discovery, market and competitive context, and behavioral data, and turn them into concepts teams can act on.
Lead Mixed-Methods Research:
Design and run rigorous research end to end, choosing the right method for the question: ethnography, in-depth interviews, diary studies, and usability testing alongside surveys, conjoint and MaxDiff, segmentation, experiment design, and behavioral and log analysis. You’ll triangulate across sources so the “what,” the “how much,” and the “why” tell one coherent story.
Partner with Data Science and Experimentation:
Work closely with data science and analytics to connect qualitative insight to A/B test design, metrics, and product outcomes, and to explain the “why” behind results. You’ll help teams learn from what worked, what didn’t, and what to test next.
Apply AI to the Research Craft:
Use AI tools and LLMs in your daily workflow for synthesis, analysis, survey and discussion guide design, and scaling qualitative depth, and design human-in-the-loop checks that catch confident but wrong outputs. You’ll help the team identify where AI accelerates research and where it should not be trusted, and contribute to shared prompts, workflows, and standards. You’ll also study how people experience AI-powered features across DoorDash’s products.
Influence and Communicate:
Tell compelling, decision-ready stories that move partners from insight to action. You’ll adapt depth and format to the moment, from a fast directional read that unblocks a team this week to a foundational body of work that anchors a multi-year strategy, and you’ll follow through to see that findings change what gets built.
Lead Through Others:
Serve as a thought partner and mentor to researchers across levels, review and elevate research quality, and help partners run good research on their own where that makes sense. You’ll help set the team’s research agenda, methods, and standards, and contribute to hiring and growing the team.
Operate Across Brands and Regions:
Bring a global lens to your work, partnering across brands, markets, and cultures and adapting approaches to local context so that insights scale beyond a single market.
What We’re Looking For
10+ years of experience in user, market, or product research at a technology company (or equivalent depth), with a track record of leading ambiguous, high-visibility work at staff level or above
Demonstrated impact on product strategy: examples where your research changed a roadmap, unlocked a new product or line of business, or redirected significant investment
Proven ability to detect and shape new product or growth opportunities, from early signal through validated concept
Expert command of both qualitative and quantitative methods, including interviews, ethnography, and usability testing as well as survey design, statistical analysis, and experimentation. Working knowledge of SQL, R, or Python for pulling and analyzing your own data is a plus
Hands-on experience using AI and LLMs in research (for example, synthesis, analysis, prototyping, or scaling qualitative work), with sound instincts about where they help and where they mislead. Experience researching AI-powered products is a plus
Experience in consumer, two-sided or multi-sided marketplace, logistics, commerce, or local services contexts is a plus
Exceptional storytelling and executive presence, with the ability to influence senior stakeholders without authority and build trust across product, design, engineering, data science, and business teams
A bias for speed and pragmatism: comfortable delivering directional insight quickly while knowing when a decision calls for deeper rigor
Experience mentoring or coaching researchers and raising the quality of a research practice
Advanced degree in HCI, Psychology, Sociology, Anthropology, Economics, Statistics, Survey Methodology, or a related field preferred, or equivalent practical experience
Why Join Us?
At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving.
We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧
Solve meaningful problems at real scale
Work on a complex, always-on marketplace that impacts millions every day.
🌱
See your impact, fast
Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
🧠
Grow through challenge and ownership
Take on big, ambiguous problems and accelerate your career with strong support.
🌎
A culture built for builders
High standards, collaboration, flexible working and continuous learning.
💰
Share in the success you help create
Competitive salary and equity options, so you’re rewarded for the impact you make.
➡️ Want a deeper look at how we build? Check out our
Tech Blog
.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Remote; India
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We're looking for a senior B2B Growth Marketer to build and scale demand generation for ElevenLabs in India. This is a hands-on, in-country role focused on generating enterprise pipeline, growing our brand with technical buyers, and creating programs that become benchmarks for B2B marketing in AI.
Your work will shape how Indian businesses discover, evaluate, and adopt ElevenLabs. The goal is to build repeatable marketing engines that make ElevenLabs the top choice for every enterprise.
WHAT YOU'LL DO
- Build integrated B2B marketing campaigns end to end across India's priority industries from strategy and messaging through execution and measurement.
- Localize and execute programs across ABM, content, events, webinars, partner/customer marketing, executive branding, product launches, and outbound - choosing the right channel for the problem rather than owning a single function.
- Adapt global campaigns and messaging for the Indian market, and feed local insights (buyer behavior, competitive dynamics, regulatory context) back to the global team.
- Partner closely with local sales and the global product marketing, growth, and design teams to keep messaging consistent and execute high-impact campaigns.
- Own pipeline generation and campaign performance for the market, using data to measure results, run experiments, and continuously improve what works.
REQUIREMENTS
- 5 to 7 years of experience at a high-growth technology company - you've built and scaled B2B demand generation programs that created measurable enterprise pipeline, and you know what moved the needle.
- Ownership Pedigree: You have implemented growth and marketing projects from start to finish and held yourself accountable for the ROI.
- Deep knowledge of the Indian market: its enterprise buyers, media landscape, and business culture, ideally with an existing network.
- Work well without much process. This role spans multiple marketing functions and needs someone who sets priorities, spots opportunities, and moves quickly as our first marketer in the market.
- Relentless commitment to excellence — a high bar for quality, clarity, and impact.
- Curious about AI, follows the technology ecosystem closely, and has exceptional judgment on what makes marketing stand out.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
The Robotics Applied Research Lead establishes and leads Humanoid’s AI research and engineering function.
You decide which Physical AI data problems we work on, define how we test them, and stay directly involved in the most important technical work. You connect four areas that often sit apart:
1. Multimodal and embodied data
2. Transformer-based models and how data impacts robot policies
3. Rigorous offline and real-world evaluation of policies
4. Deployment of models in the data ecosystem
This is a player-coach role. In the first year, at least half of your time is direct technical work: designing models and experiments, reviewing or writing code, inspecting data, debugging training, examining failures, and reviewing robot rollouts.
You will also build a small research and engineering team. Add people only when the work requires them.
MANDATE
Turn Humanoid data and technical access into measurable advances in Physical AI systems.
You own the answers, and the evidence, to questions such as:
- Which model families should we train, adapt, or evaluate?
- Which data produces meaningful gains in robot performance?
- What coverage, sensors, annotations, and quality controls do the models require?
- Which offline measurements predict real-world robot performance?
- Where should we adapt existing open models rather than train from scratch?
- What should Humanoid build itself, and what should it reuse or obtain through partners?
WHAT YOU'LL DO
- Set the technical direction: Define a focused research and engineering roadmap. Select a small number of high-value bets with clear hypotheses, baselines, milestones, and stop criteria. Decide what we build, adapt, license, or access through partners. Drop work that no longer has a strong case. Likely scope includes vision-language-action models, multimodal Transformers, robot foundation models, action representation, imitation and reinforcement learning, world models, cross-embodiment transfer, data-efficient adaptation, and robot-policy evaluation.
- Own Transformer research and engineering: Design, adapt, train, and evaluate Transformer-based systems for embodied tasks. Make the architecture and training decisions yourself. Start from strong existing models and baselines. Train from scratch only when evidence supports the cost. Build or review the critical code.
- Connect models to data strategy: Define the data needed to train and evaluate the selected models. Specify sensors, modalities, annotations, mixtures, and quality controls. Measure the effect of data quality, diversity, and composition on model behavior. Distinguish data volume from data value. You set technical data requirements; you do not run annotation workforces or field collection.
- Own evaluation: Establish offline and real-world evaluation systems, baselines, held-out conditions, and release gates. Guard against leakage, overfitting, and weak success definitions. Compare offline metrics with real-robot outcomes. A benchmark score alone is not a successful result. The evaluation must support a decision.
- Move work onto physical systems: Take projects from problem definition through training, hardware integration, and real-world testing. Design safe test plans and staged deployment. Analyse failures across data, perception, model, control, hardware, and environment. Validate material claims on physical systems.
- Build a small technical team: Recruit a few complementary researchers and engineers. Lead architecture, experiment, code, and failure reviews. Keep the team focused on validated results, not paper count, benchmark theatre, or headcount.
- Represent the function and own responsible development: Explain the strategy to customers, partners, and investors. Convert customer needs into testable technical requirements. State uncertainty and limits clearly. Define safety constraints, supervision, and rollback paths for physical trials. Require reproducible evidence before making capability or safety claims.
WHAT WE'RE LOOKING FOR
- Deep, direct Transformer expertise: This is a hard requirement. You must have personally made material architecture or training decisions in one or more substantial Transformer-based systems, such as vision Transformers, VLMs, VLAs, multimodal foundation models, Decision Transformers, diffusion Transformers, video Transformers, world models, or Transformer-based perception, planning, or control. You should be able to explain, in detail, how you represented inputs and outputs, tokenized data, fused modalities, structured attention and temporal context, chose losses, built the data mixture, distributed and monitored training, diagnosed failures, and what you personally changed and why it affected task performance. Using hosted model APIs, prompting language models, or running an unchanged public training recipe does not meet this requirement.
- Physical AI or embodied-system experience: You have worked on machine learning for a system that perceives or acts in the physical world: robotics, autonomous vehicles, drones, industrial automation, manipulation, mobile robots, humanoids, wearable or egocentric systems, or similar. At least one substantial project progressed beyond an offline dataset into a real or operational physical system. Simulation-only experience is not sufficient unless you also owned credible sim-to-real transfer and physical validation.
- Hands-on technical ability: You write and review high-quality Python. You work directly with PyTorch or an equivalent framework. You can read unfamiliar model and training code, design and debug experiments, inspect failures and rollout traces, work with large multimodal datasets, and make informed decisions about compute, memory, latency, and cost.
- Technical leadership: You have set direction for important technical work: a research or engineering group, a major model or robotics programme, or a cross-functional project you owned. You have hired or mentored researchers or engineers, made architecture and resource decisions, stopped weak work, and taken a result into deployment. A management title is not required. Direct ownership is.
- Evaluation, communication, and judgment: You design held-out tests, run controlled comparisons, find leakage and confounds, and report results with appropriate uncertainty. You separate evidence from belief, state what remains unknown, and reduce broad research questions to testable work.
- Strong preference - Computer Vision: We are particularly interested in candidates who combine deep expertise in Transformer architectures with a strong background in computer vision. Relevant experience may include visual representation learning, vision-language models (VLMs), video and temporal modelling, object detection, segmentation, tracking, multi-view and egocentric vision, 3D and spatial reasoning, pose estimation, calibration, localisation, sensor fusion, or real-time vision systems.
- Education: A PhD in machine learning, computer vision, robotics, computer science or a related field is valuable but not required. An equivalent record of original model work, technical leadership, and real-system delivery is sufficient. We care more about what you personally designed, trained, tested, and deployed than about a specific degree or number of years.
NICE-TO-HAVE:
- Technical expertise: Experience with VLA or robotic foundation models, action generation, diffusion or flow-matching policies, imitation learning, reinforcement learning, world models, robotic manipulation, cross-embodiment training, sim-to-real transfer, distributed training, ROS 2, or safety-critical systems.
- Additional experience: Research publications, open-source contributions, early-stage company experience, or direct collaboration with technical customers and research partners.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: United States; Canada (BC & ON only)
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
Our Customer Success team works with Webflow’s most high-impact Enterprise customers, helping them launch successfully, adapt quickly, and get the full value of our AI-native website experience platform. We’re the team that stays with customers from day one through renewal, guiding their strategy, unblocking their teams, and connecting them with the right experts across Webflow.
As the primary partner for our strategic accounts, we play a central role in their long-term success — and in Webflow’s. By driving adoption, uncovering new use cases, and championing meaningful outcomes, we influence growth, retention, and the overall strength of our Enterprise business.
We’re looking for a Senior Customer Success Manager who can step into that role with confidence: the trusted advisor who sees the big picture, the operator who can bring cross-functional teams together, and the advocate who ensures customers stay with us and grow with us because of the results we help them achieve.
ABOUT THE ROLE:
- Location: Remote-first (United States; BC & ON, Canada)
- Must be based in the Pacific Time Zone
- Full-time
- Permanent
- Exempt
- Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.
- United States (all figures cited below in USD and pertain to workers in the United States)
- Zone A: $174,500-205,000
- Zone B: $161,700-190,000
- Zone C: $151,500-178,000
- Canada (All figures cited below in CAD and pertain to workers in ON & BC, Canada)
- 166,000-195,000
For sales roles, the ranges provided are the role’s On Target Earnings (“OTE”) ranges, meaning that the ranges include both the sales commissions target and annual base salary for the role. This salary range may be inclusive of several career levels at Webflow and will be narrowed during the interview process based on a number of factors, including the candidate’s market location, job related experience, knowledge, qualifications, and skills. Benefits/additional compensation for this role may include: equity, company bonus or sales commissions/bonuses; retirement plans; health benefits; and wellness stipends
Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for an existing vacancy.
- Reporting to the Manager, Customer Success.
As a Senior Customer Success Manager you’ll:
- Build strong, trusted relationships across your customers’ orgs, from exec sponsors to hands-on users, and guide them through every stage of their Webflow journey.
- Get deep into your customers’ goals, workflows and tech stack so you can help them use Webflow’s platform to power more of their digital footprint.
- Lead account strategy with clarity and confidence. Rally cross-functional partners around a shared success plan that drives adoption, impact, and measurable business outcomes.
- Own renewals, forecasting, and account health. Spot expansion opportunities and new use cases, and partner with Sales on growth.
- Turn usage and consumption patterns into adoption plans, forecasts, and expansion opportunities.
- Lead discovery workshops and pilots for AI use cases. Help customers move AI agents from pilot to production and navigate rollout, adoption, and change management.
- Define success criteria and ROI with each customer.
- Run high-value executive conversations that surface progress, risks, and results and clearly show why Webflow is essential to the customer’s business.
- Partner with Sales, Technical Architects, Forward Deployed Engineers, and Services Providers to steer complex accounts toward successful launches, scalable architectures and strong renewal outcomes.
- Bring the customer’s voice back into Webflow with crisp insights that shape product direction, improve our processes, and help us deliver an even better Enterprise experience.
- Travel up to 15% (1-2x per quarter)
ABOUT YOU:
Requirements:
- BS / BA college degree or relevant experience
- 5+ years of relevant experience advising Enterprise customers in a SaaS or digital experience environment, ideally in a role where you owned adoption, renewal, uncovering expansion and long-term customer health.
- Experience managing usage, consumption or credit-based accounts. This includes tracking utilization against commitments, managing burn-down and forecasting renewals and expansion from usage trends.
- Technical aptitude across codebases, deployment pipelines, integrations, permissions and security, with the ability to partner credibly with developers. Production coding is not required.
- Experience in at least one of the following:
- Applied AI: building real AI workflows or agents, evaluating their output and setting realistic expectations.
- Digital transformation: leading complex enterprise programs involving integrated systems, workflow automation or platform migrations.
You’ll thrive as a Senior Customer Success Manager if you:
- Dig into a customer’s business using financial filings, industry research, and internal data to spot risks, opportunities, and growth paths.
- Have hands-on AI fluency: you have worked with agents, connectors, or MCP-style integrations, and you can explain AI tools to executives and technical teams in terms of business outcomes.
- Read product usage data, spot early signs of churn or underuse (such as slowing consumption, dormant users, and stalled workflows), and turn them into an action plan before renewal.
- Stay on top of details, keep cross-functional partners aligned, and maintain momentum in a fast-moving environment through strong organizational and project management habits.
- Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: Poland; Romania; Serbia; Slovenia; Lithuania; Latvia
Intetics Inc.
, a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced
Staff Data Scientist / Machine Learning Engineer
to join our dynamic team on a full-time basis.
Responsibilities:
- Design, build, and maintain predictive Lifetime Value (pLTV) models using machine learning techniques such as XGBoost, CatBoost, and probabilistic forecasting methods.
- Develop and manage a tiered scoring framework that assigns users to different prediction models based on data availability and signal quality.
- Create and optimize calibration frameworks that transform raw model outputs into business-ready values through normalization, scaling, and custom loss optimization strategies.
- Own feature engineering processes, building and maintaining scalable feature datasets from transactional, behavioral, and engagement data.
- Define and enforce feature quality standards, ensuring model inputs are reliable, relevant, and suitable for production use. - Monitor model performance, drift, and data distribution changes, proactively identifying when retraining or model adjustments are required.
- Analyze the impact of deployed models on downstream outcomes and detect feedback loops that may affect future model accuracy.
- Develop and improve identity resolution processes to unify behavioral and transactional data across multiple data sources.
- Build, test, and maintain production-grade Python services and data pipelines for model training, scoring, and signal delivery.
- Implement robust software engineering practices, including automated testing, CI/CD, monitoring, idempotent processing, and deployment safeguards.
- Collaborate with data, engineering, and product stakeholders to improve data quality, model effectiveness, and platform scalability.
- Operate and optimize ML workflows in cloud environments using orchestration, scheduling, and distributed processing tools.
- Ensure the reliability, accuracy, and scalability of machine learning systems that support critical business decision-making and performance optimization.
Requirements
5+ years of hands-on ML engineering in Python with production-deployed models (not just Jupyter notebooks). You should be comfortable writing production-grade code, not just prototypes.
Experience with gradient boosted trees (XGBoost, CatBoost, or LightGBM) in a production setting, including hyperparameter tuning, feature importance analysis, and model evaluation beyond default metrics.
Strong SQL and BigQuery fluency. You will write complex feature engineering queries, scheduled transformations, and data validation logic directly in BigQuery.
GCP production experience. Cloud Run, Airflow/Composer, Vertex AI, Pub/Sub. You have deployed and maintained ML workloads on GCP, not just completed certification exercises.
Understanding of model calibration. You know the difference between a model that minimizes RMSE and a model that maximizes business value. You have experience with or strong intuition about how prediction errors compound when consumed by a downstream optimization system.
Outbound API integration experience. You have pushed model outputs into external systems that act on them (ad platforms, recommendation engines, pricing systems, bidding systems).
Strongly Preferred:
E-commerce or DTC domain experience. Customer lifetime value, purchase prediction, churn modeling, or customer segmentation for retail or subscription businesses.
Familiarity with probabilistic customer models (BG/NBD, Gamma-Gamma, or similar frameworks). If you haven't used these specifically, strong Bayesian statistics foundations are equally valuable.
Ad platform signal engineering. Experience with Google Ads API (ConversionUploadService, Enhanced Conversions), Meta Conversions API (CAPI), or similar server-side event dispatch systems.
Identity resolution or entity matching. Graph-based identity stitching, probabilistic matching, or CDP-style cross-device identity work.
Nice-to-have:
Terraform, CI/CD pipeline design, Docker containerization for ML workloads.
Experience with causal inference methods, A/B testing in ad spend environments, or multi-armed bandit allocation.
Familiarity with agentic development workflows (Claude Code, Cursor, or similar AI-assisted coding tools).
Location: Croatia; Czechia; Moldova; Lithuania; Albania; Costa Rica
Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe.
The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry.
We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover.
This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion.
Employment Type:
-
Full-time 8.30 am - 5 pm, NY (EST zone).
- Remote work.
- B2B contract (sole proprietorship status or corporate entity).
Key responsibilities:
Analyze performance
Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps.
Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved.
Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes.
Develop the team
Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks.
Build individual development plans and coach sales representatives on specific sales behaviors.
Coach team leads to apply shared quality criteria in daily work with their teams.
Track results
Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent.
Standards and CRM
Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale.
Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation).
Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes.
Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality.
AI in sales work
Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors.
Work with AI agents and bots; maintain instructions, templates and knowledge-base materials.
Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information.
Build enablement assets
Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises.
Requirements
Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance.
Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field.
Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales.
Strong understanding of both phone sales and in-person sales in a showroom.
Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria.
Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player.
Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements.
Proven, hands-on use of AI in sales work
, with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required.
Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove.
Fluent English (C1/C2).
Benefits
Competitive base salary + performance-based bonuses.
Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way.
Direct influence on how the sales team sells, with results visible in conversion and deal outcomes.
Hands-on work with AI in real sales processes, not pilots that stay on paper.
Joining a highly professional and dynamic team.
Exciting experience working with prestigious clients in the US market.
Location: Estonia; Romania; Hungary; North Macedonia; Slovenia; Slovakia
Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe.
The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry.
We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover.
This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion.
Employment Type:
-
Full-time 8.30 am - 5 pm, NY (EST zone).
- Remote work.
- B2B contract (sole proprietorship status or corporate entity).
Key responsibilities:
Analyze performance
Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps.
Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved.
Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes.
Develop the team
Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks.
Build individual development plans and coach sales representatives on specific sales behaviors.
Coach team leads to apply shared quality criteria in daily work with their teams.
Track results
Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent.
Standards and CRM
Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale.
Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation).
Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes.
Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality.
AI in sales work
Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors.
Work with AI agents and bots; maintain instructions, templates and knowledge-base materials.
Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information.
Build enablement assets
Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises.
Requirements
Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance.
Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field.
Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales.
Strong understanding of both phone sales and in-person sales in a showroom.
Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria.
Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player.
Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements.
Proven, hands-on use of AI in sales work
, with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required.
Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove.
Fluent English (C1/C2).
Benefits
Competitive base salary + performance-based bonuses.
Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way.
Direct influence on how the sales team sells, with results visible in conversion and deal outcomes.
Hands-on work with AI in real sales processes, not pilots that stay on paper.
Joining a highly professional and dynamic team.
Exciting experience working with prestigious clients in the US market.
Location: Poland; Serbia; Portugal; Spain; Latvia; Bulgaria
Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe.
The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry.
We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover.
This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion.
Employment Type:
-
Full-time 8.30 am - 5 pm, NY (EST zone).
- Remote work.
- B2B contract (sole proprietorship status or corporate entity).
Key responsibilities:
Analyze performance
Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps.
Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved.
Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes.
Develop the team
Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks.
Build individual development plans and coach sales representatives on specific sales behaviors.
Coach team leads to apply shared quality criteria in daily work with their teams.
Track results
Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent.
Standards and CRM
Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale.
Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation).
Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes.
Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality.
AI in sales work
Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors.
Work with AI agents and bots; maintain instructions, templates and knowledge-base materials.
Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information.
Build enablement assets
Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises.
Requirements
Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance.
Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field.
Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales.
Strong understanding of both phone sales and in-person sales in a showroom.
Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria.
Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player.
Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements.
Proven, hands-on use of AI in sales work
, with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required.
Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove.
Fluent English (C1/C2).
Benefits
Competitive base salary + performance-based bonuses.
Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way.
Direct influence on how the sales team sells, with results visible in conversion and deal outcomes.
Hands-on work with AI in real sales processes, not pilots that stay on paper.
Joining a highly professional and dynamic team.
Exciting experience working with prestigious clients in the US market.
Location: Brazil; Mexico; Colombia; Argentina; Chile; Peru
Crystalia Glass LLC is a U.S.-based manufacturer and provider of premium glass solutions, specializing in custom glass partitions for residential, commercial, and institutional projects. We operate a full-cycle model — from design and manufacturing to sales, delivery, and installation — with production facilities in the United States and Europe.
The U.S. market is our core focus. Crystalia Glass is a stable, scaling business, serving B2C, B2B, and B2G clients across multiple states. We combine strong product quality, competitive pricing, high service standards, and operational efficiency to set a benchmark within our industry.
We are strengthening our commercial function and are looking for a Sales Enablement Manager to own the quality of sales execution across the full funnel, from first contact and needs discovery to closing and order handover.
This is a hands-on, senior individual contributor role with no direct reports. Sales Enablement Manager will diagnose why deals are lost, coach sales teams, build and adapt sales standards and CRM stage logic, and embed AI into everyday sales work. Success depends on driving adoption across sales teams and measuring real change in sales representatives’ behavior and conversion.
Employment Type:
-
Full-time 8.30 am - 5 pm, NY (EST zone).
- Remote work.
- B2B contract (sole proprietorship status or corporate entity).
Key responsibilities:
Analyze performance
Review won, lost and stalled deals across funnel stages, matching calls and messages against CRM history and using AI to flag missed questions, weak arguments, unhandled objections and missing next steps.
Assess each sales stage (discovery, qualification, value presentation, objection handling, negotiation, closing and follow-up), including how scripts are adapted to the client and whether call goals are achieved.
Identify root causes of performance gaps (skills, knowledge, process or tools) and recommend targeted fixes.
Develop the team
Run one-to-one and team call and deal reviews, role-plays (including AI-simulated buyers and objections), live call observation and product knowledge checks.
Build individual development plans and coach sales representatives on specific sales behaviors.
Coach team leads to apply shared quality criteria in daily work with their teams.
Track results
Track whether new behaviors and AI workflows are applied in real deals and how they affect conversion, deal outcomes and time spent.
Standards and CRM
Audit existing sales standards for gaps, contradictions and requirements that don’t help the sale.
Write and update sales standards: scripts, objection guides, follow-up rules, contact quality criteria and product instructions, as well as CRM stage rules — the goal, entry and exit criteria, required data, sales representative actions and next steps for each stage, ownership at handover, and SLAs agreed with the process owner (response time, working hours, exceptions and escalation).
Pilot and roll out new standards: incorporate feedback from sales representatives and team leads, agree commercial rules with sales leadership, write requirements for CRM fields, prompts, notifications, reports and automation, take part in acceptance testing, and train sales representatives after changes.
Monitor adherence to standards in the CRM: overdue tasks, missing next steps, unconfirmed stage moves, missing loss reasons and handover quality.
AI in sales work
Build reusable AI workflows for sales representatives and team leads (call and meeting preparation, meeting summaries, follow-up messages, discovery question planning and checking proposals against client and product data), train sales teams to use them, observe real usage and fix errors.
Work with AI agents and bots; maintain instructions, templates and knowledge-base materials.
Use AI to help sales representatives plan next steps in the CRM, making sure they review every AI-drafted message or data update before it goes to a client or changes key deal information.
Build enablement assets
Build and maintain the team skills map, call and deal scorecard, prioritized list of loss reasons and a library of examples and exercises.
Requirements
Experience in sales enablement, sales coaching or sales development in a comparable market, with personal responsibility for identifying gaps in sales representatives’ performance.
Experience with a complex physical product with a long sales cycle, ideally in architectural glass, interior systems or a related field.
Deep understanding of the full B2B/B2C sales cycle, including negotiation, closing and repeat sales.
Strong understanding of both phone sales and in-person sales in a showroom.
Strong call and deal review skills: specific feedback, structured practice and verification that skills transfer to real work; experience coaching team leads to apply shared quality criteria.
Experience writing sales standards and driving their adoption through team leads and sales representatives, without direct authority over the sales team; clear and concise writing; strong team player.
Confident CRM use at the level of funnel, stages, tasks, ownership, SLAs and data quality; ability to write change requirements.
Proven, hands-on use of AI in sales work
, with at least one implemented workflow showing a clear task, data, personal contribution, users and result. Fluent with AI tools, structured instructions, files and knowledge bases, and able to train others to use them; experience with any specific AI product is not required.
Strong analytical skills: able to measure the impact of new tools and processes with before/after comparison, compare conversion rates on a like-for-like basis (same funnel stage, period and lead sources), recognize when there is too little data for a reliable conclusion, and be clear about what the numbers do and do not prove.
Fluent English (C1/C2).
Benefits
Competitive base salary + performance-based bonuses.
Full ownership of the sales enablement function in a fast-growing U.S. company, with the freedom to build it the right way.
Direct influence on how the sales team sells, with results visible in conversion and deal outcomes.
Hands-on work with AI in real sales processes, not pilots that stay on paper.
Joining a highly professional and dynamic team.
Exciting experience working with prestigious clients in the US market.
Location: Wrocław, Poland; Porto, Portugal; Sofia, Bulgaria; Madrid, Spain
We are hiring in Europe!
🟢 At Dev.Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity.
We invite a Senior QA Engineer to join our team and help evolve a large-scale blockchain-based platform for private markets. In this role, you’ll own end-to-end quality assurance, combining hands-on manual testing with building and expanding test automation across backend services, distributed systems, and blockchain integrations. You'll help establish testing approaches and automation practices from the ground up, working closely with engineering teams and business stakeholders to ensure reliable, high-quality releases.
🟩 What's in it for you:
Work on an innovative blockchain platform designed to bring trust and transparency to private markets
Deepen your expertise in blockchain systems, distributed architectures, and complex integrations
Drive the development of test automation frameworks and help shape quality practices across multiple projects
✅ Is that you?
5+ years in QA/SDET roles, covering both manual and automated testing across the full SDLC
Strong experience with backend and non-UI test automation
Hands-on experience developing, maintaining, and debugging automated tests
Strong programming skills for test automation, preferably with TypeScript/Node.js
Ability to define QA strategies, test plans, and quality gates from the ground up
Understanding of blockchain fundamentals, including wallets, transactions, and blockchain types
Experience testing REST APIs and RPC-based interfaces (JSON-RPC, gRPC)
Experience with Docker-based test environments and debugging containerized services
Experience integrating automated tests into CI/CD pipelines and establishing quality gates
Experience with AWS-based infrastructure
Experience with MongoDB or PostgreSQL
Strong analytical and problem-solving skills to identify risks and propose solutions
Ability to independently manage testing activities, take ownership of deliverables, and proactively communicate progress and blockers
Ability to adapt to changing priorities and demonstrate a flexible, hands-on approach to testing
Ability to define testing scope and balance test coverage between QA and engineering teams
Strong communication and collaboration skills across multiple stakeholders and teams
Upper-Intermediate+ English level
Desirable:
Hands-on experience testing blockchain systems, smart contracts, and transaction flows
Experience with Go for test automation
EVM testing experience using Foundry, Hardhat, or similar frameworks
Ability to read and understand Solidity or Rust code for smart contract validation
Experience with Layer 2 solutions and blockchain protocol testing
Experience testing asynchronous messaging systems (AWS SNS/SQS, Azure Service Bus)
Experience with Kubernetes
Experience with observability-driven testing
Experience testing MCP servers
Experience with performance and load testing
🧩
Key responsibilities and your contribution
In this role, you'll lead testing activities across blockchain-based applications, from requirements analysis and manual validation to test automation and release support.
Review business requirements and technical documentation to understand system functionality and identify testing needs
Manually test new features and existing functionality to understand system behavior and guide test automation efforts
Define and improve QA strategies, test plans, and quality gates
Establish testing ownership and coordinate responsibilities between QA and engineering teams
Work closely with engineering and product teams to define test coverage and acceptance criteria
Build and maintain automated test suites, frameworks, and test harnesses, focusing on backend, integration, and contract testing
Test blockchain integrations, smart contracts, REST APIs, JSON-RPC endpoints, MCP servers, and other blockchain-specific functionality
Integrate and monitor automated tests within CI/CD pipelines and quality gates
Investigate and troubleshoot issues across distributed systems and blockchain integrations
Adjust testing priorities and approaches as project needs evolve
Maintain test documentation, report quality risks, and communicate testing progress and blockers
Help expand automation coverage and improve QA practices across multiple projects
Our next steps:
✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Offer
Interested? Find out more:
📋How we hire
💻 LinkedIn Page
📈 Our website
💻IG Page
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Private Policy and Consent on Processing of Personal Data
. I agree to have my Personal Data being stored and processed by Dev.Pro.
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УдалённоRemote USA; Based in Los Angeles or elsewhere in the US, and able to work across US time zones
London, United Kingdom; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
Remote; India
ОфисleadUK, London
УдалённоseniorUnited States; Canada (BC & ON only); Senior Customer Success Manager - Pacific Time Zone; Must be based in the Pacific Time Zone
