
Index · Remote
YOUR MISSION About the Role We are looking for an experienced Upwork Channel Manager to take full ownership of our Upwork operation — from bidding and profile...
About the Role
We are looking for an experienced Upwork Channel Manager to take full ownership of our Upwork operation — from bidding and profile
management to analytics, team leadership, and channel development. You will run one of our most important lead generation channels
end-to-end, managing bids across multiple profiles and leading a team of lead generators across shifts.
This is a senior operator role. You will set the strategy, execute the day-to-day, and be held accountable for real numbers —
replies, qualified calls, SQLs, and closed deals.
What You Will Own
Bidding & Proposal Strategy
view rates. Manage Connect spending: keep cost per SQL in healthy ranges and reconcile refunds from lost/closed jobs.
variants, profile selection, smart boosting — and scaling what works.
framing.
Profile & Channel Development
profile with our current propositions, including AI-assisted development.
scaling.
Analytics & Reporting
test fixes, report on results.
Team Leadership
and — when needed — make the hard calls on underperformers.
measurable, not dependent on any one heroic performer.
Cross-functional Collaboration
What You Bring
Must-Haves
funnel data and form real hypotheses.
scanner/automation tools
similar.
Nice-to-Haves
Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond. Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn. ---------------------------------------------------------------------------------------------------------------------------------- As Senior Marketing Technology Manager, you will shape the systems that power performance marketing across Paid Acquisition, Paid Social, and SEO. You will own the technical foundation behind tagging, tracking, signal quality, and platform integrations, while helping evolve our broader MarTech ecosystem across customer data, consent, and automation. This role is built for a marketing technologist who moves fluidly from problem definition to implementation to measurement, and who can turn emerging AI capabilities into reliable, governed workflows that improve speed, accuracy, and business impact. Reporting to the Head of Marketing Technology, you will operate as a senior individual contributor with broad influence across marketing, engineering, data, legal, and privacy. RESPONSIBILITIES: * Own Google Tag Manager end-to-end across tagging, tracking, and pixel deployment, improving signal quality, match rates, and data reliability for Paid Acquisition, Paid Social, and SEO programs. * Partner with channel teams to design and optimize browser-side and server-side measurement approaches, including Conversion API implementations and data syncs across CDP destinations and key platforms such as Meta, Google, LinkedIn, and Reddit. * Lead complex MarTech initiatives across tracking architecture, customer data platform integrations, consent signal orchestration, and platform onboarding, driving durable solutions that improve speed to market and campaign performance. * Build and operationalize AI-enabled workflows that automate segmentation, campaign support, personalization, and marketing operations, with clear logic, measurable outputs, and appropriate human oversight. * Evaluate emerging AI tools, agent frameworks, and integration patterns, including model orchestration approaches such as MCP, and recommend scalable solutions based on business value, technical feasibility, and long-term maintainability. * Partner cross-functionally with Engineering, Data, Legal, and Privacy to embed consent, governance, and compliance requirements into tagging, data collection, and AI-assisted marketing workflows. * Create leverage for surrounding teams by translating business needs into technical requirements, resolving operational blockers, and establishing clear processes such as office hours, intake, and prioritization that make marketing teams measurably faster. * Author and maintain Privacy Impact Assessments and data-flow documentation for marketing data, clearly articulating where data originates, transfer mechanisms, the processing purpose, and the regulatory basis and gating controls that apply, in partnership with Legal and Privacy. WHAT IT TAKES TO CATCH OUR EYE: * Deep expertise in marketing technology implementation across Google Tag Manager, Google Analytics, pixel strategy, server-side tagging, and advanced data layer design, paired with strong judgment on how to improve measurement quality across paid and organic channels. * Proven ability to lead complex cross-functional initiatives as a senior individual contributor, balancing strategic thinking with hands-on execution across MarTech, analytics, data pipelines, and stakeholder alignment. * Strong technical fluency in SQL, analytics tooling, and data troubleshooting, with experience partnering closely with engineers and data teams to diagnose issues and build reliable, scalable solutions. * Author and maintain Privacy Impact Assessments and data-flow documentation for marketing data, clearly articulating where data originates, the transfer mechanism used, the processing purpose, and the regulatory basis and gating controls that apply, in partnership with Legal and Privacy. * Adaptive use of AI in technical workflows, including designing prompts, testing outputs, and integrating AI tools or agents into marketing operations to improve speed, accuracy, and execution quality while maintaining human review and accountability. * A builder’s mindset grounded in sound judgment: you know when to automate, when to simplify, and how to turn repeated pain points into systems that scale across teams instead of creating long-term operational debt. ---------------------------------------------------------------------------------------------------------------------------------- COME CHANGE HOW THE WORLD WORKS. Upwork is establishing an operational hub in Toronto, Canada. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open. This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities. Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law. We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled. To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice and the Applicant Privacy Addendum (Canada). The annual base salary range for this position is displayed below. The range displayed reflects the minimum and maximum salary for this position, and individual base pay will depend on your skills, qualifications, experience, and location. Additionally, this position is eligible for the annual bonus plan or sales incentive plan and eligibility to participate in our long term equity incentive program. Annual Base Compensation $141,250—$220,250 USD To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice
WHO WE ARE Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched. Tables run every clinical trial, every financial model, every scientific experiment, every business decision, and no one had built a foundation model that truly understood them. Until now. What LLMs did for language, we're doing for tables. The next modality shift in AI is happening, and we're hiring the team that makes it. Momentum. We pioneered tabular foundation models and are now the world-leading organization in structured-data ML. Our TabPFN v2 model was published as a Nature cover story and set a new state of the art for tabular machine learning. Since release we've scaled model capabilities 20x+, passed 3.5M+ downloads and 7,500+ GitHub stars, and are seeing accelerating adoption across research and industry - from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi to improving clinical-trial decisions with BostonGene. The hardest work is ahead. We're scaling tabular foundation models to millions of rows, thousands of features, real-time inference, and entirely new data modalities, while building the infrastructure to run them in production across some of the most demanding industries on earth. These are open problems no one else is working on at this level. Our team. We're a small, highly selective team of 30+ engineers, researchers, and GTM specialists, with backgrounds spanning Google, Apple, Amazon, DeepMind, Meta, Microsoft Research, G-Research, Jane Street, Goldman Sachs, and CERN. We're led by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by world-leading AI researchers including Bernhard Schölkopf and Turing Award winner Yann LeCun. We ship fast, do top-tier research, and hold each other to an extremely high bar. What's next. In 2025 we raised €9m pre-seed led by Balderton Capital, backed by leaders from Hugging Face, DeepMind, and Black Forest Labs. The next phase of growth is here, which makes this an ideal time to join. About the Role We are hiring our first Partner Manager to execute and scale our partnerships motion. You'll be the operational backbone of how we structure, run, and grow relationships with cloud providers, data and analytics vendors, and system integrators. This is a hands-on execution role - you'll be in the details of active partnerships, owning relationships and making sure commitments are met, incentives are working, and relationships translate into pipeline. Partnership Execution * Own the day-to-day execution of active partnerships across existing cloud providers, data and analytics vendors, and SI/consultancy relationships * Track commitments on both sides and ensure follow-through internally and externally * Coordinate with internal engineering teams and developer relations to make sure technical resources are deployed on partner deals effectively Deal Structure and Commercial Operations * Work on the structure of partner agreements - co-sell arrangements, referral tiers, reseller terms, and delivery incentives * Support pricing and packaging discussions with partners * Maintain accurate records of partner agreements, terms, and performance in CRM Internal Coordination * Act as the connective tissue between partnerships, direct sales, and the technical GTM team * Flag when partner commitments are getting ahead of delivery capacity * Work with the sales team to align on account ownership and ensure channel clarity Partner Development * Help onboard new partners and get relationships into a productive state quickly * Identify where existing partnerships are underperforming and surface what needs to change * Contribute to building the playbooks, templates, and processes that will scale the function What you bring * 3-5 years in a partnerships, alliances, or BD role at a data infrastructure, ML tooling, developer tools, or deep tech company. * Experience working on partner commercial structures - not just managing relationships but understanding how the incentive mechanisms work * Strong internal coordination skills; comfortable working across sales, technical, and product teams simultaneously * Detail-oriented and reliable on follow-through; partners and internal teams alike know they can count on you * Familiarity with cloud provider partner programs a strong plus Why this role is exciting * First Partner Manager at a company building a genuinely new category in AI * Direct exposure to how enterprise partnerships are structured and scaled from the ground up * Work closely with the commercial founder on a motion that will be a major growth driver * Clear path into senior partnerships or BD roles as the function scales Life at Prior Labs We're a small, ambitious team solving one of the hardest problems in AI, and we're just getting started. You'll work closely with world-class researchers and builders who care deeply about the quality of their craft, the impact of their work, and the people they work with. We move fast, we think rigorously, and we take the time to do things right. If you're excited by hard problems, motivated by real-world impact, and want to be part of building something that matters, we'd love to hear from you. We're building our teams in Berlin, Freiburg, and New York and we believe that when you're working on something as hard and exciting as TabPFN, being in the same room matters. Most of our roles are based in one of our offices but great people come from everywhere, and in exceptional cases we're open to remote. This usually involves frequent travel to one of our offices and the whole company comes together regularly for offsites to think, build, and celebrate together. Our Commitments We believe the best products and teams come from a wide range of perspectives, experiences, and backgrounds. That's why we welcome applications from people of all identities and walks of life, especially anyone who's ever felt discouraged by "not checking every box." We're committed to creating a safe, inclusive environment and providing equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are. We care about how your data is handled. Read our Recruiting Privacy Notice to see exactly what we collect, why, and how long we keep it.
About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know our Team: The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. In this Role, you’ll get to: * Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests. * Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others. * Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers. What you’ll Need to Succeed: * Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science) * Ability to communicate fluently in English * 4+ years’ experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company * Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL * Good numerical reasoning skills * Proficiency in Excel * Intellectual curiosity It’s Great if you Have: * Experience in digital marketing * Academic research experience #STRA#ANLS#MRKT#3#LI-TR2 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #tirana #yerevan #sydney #melbourne #perth #vienna #graz #linz #baku #minsk #brussels #antwerp #ghent #charleroi #liege #saopaolo #sofia #toronto #vancouver #montreal #shanghai #beijing #shenzhen #zagreb #cyprus #prague #Brno #Ostrava #copenhagen #cairo #alexandria #giza #estonia #helsinki #paris #nice #marseille #rouen #lyon #toulouse #tbilisi #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #bangalore #newdelhi #jakarta #bali #bandung #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #amman #irbid #riga #beirut #tripoli #vilnius #luxembourg #kualalumpur #malta #chisinau #amsterdam #oslo #jerusalem #manila #warsaw #krakow #sintra #lisbon #porto #braga #cascais #loures #amadora #almada #doha #alrayyan #bucharest #moscow #saintpetersburg #riyadh #jeddah #mecca #medina #belgrade #singapore #bratislava #capetown #johannesburg #seoul #barcelona #madrid #valencia #seville #bilbao #malaga #oviedo #alicante #laspalmas #zaragozbanga #stockholm #zurich #geneva #basel #taipei #tainan #taichung #kaohsiung #Phuket #bangkok #istanbul #ankara #izmir #dubai #abudhabi #sharjah #london #manchester #liverpool #edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java finance shopee traveloka google facebook ctrip trip.com makemytrip grab amazon pandas (software) artificial intelligence (ai) information technology capital one accenture upwork deloitte mckinsey bain microsoft uber lyft gojek lazada alibaba shopify expedia skyscanner PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS. DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.