data engineer

data scientist

senior data engineer

senior data scientist

lead data scientist

data scientist revenue

BigHand

<div><h5 class="jobSectionHeader">About BigHand</h5> 
BigHand offers technology solutions for busy legal professionals that provide data and insights to increase value and profits. Through our expert knowledge and innovative technology, we enable our customers to achieve enhanced efficiency, better decision-making and harness their competitive edge.
We build with tomorrow in mind, transforming ideas into action and empowering our customers to succeed in a world of constant change. We make big happen for our customers.
We are a business driven by our values and have these at the centre of everything we do. Our BigHanders are dedicated to building a culture where We Win Together, We Love to Learn, We Do the Right Thing, We Own It and We Find the Fun.<h5 class="jobSectionHeader"> 
About the role</h5> 
BigHand builds software that legal organisations rely on every day. We are looking for a Data Scientist to help us design and ship products to establish our partnership with Ayora, where a clean, considered user interface meets genuinely intelligent behaviour underneath.<div>
This is a hands-on role for a data scientist who wants their work in production rather than in a notebook. You will build and evaluate the models and LLM systems that sit behind the product, contribute to how problems are framed as well as how they are solved, and take real ownership of the quality of what we release.</div><h5 class="jobSectionHeader"> 
What you&rsquo;ll do 
 
</h5><ul><li>Train, tune and evaluate models, and prepare them for production deployment alongside engineering.</li><li>
Build and improve LLM and agentic AI systems, including harnesses, retrieval augmented generation, context engineering and evaluation frameworks.</li><li>
Wrangle and analyse messy real-world legal data, and turn it into something the product can rely on.</li><li>
Design evaluations that tell us honestly whether a model or agent is working, and act on what they show.</li><li>
Explain complex statistical and machine learning concepts and results clearly, through visualisation and summarisation, including to non-technical audiences.</li><li>
Contribute to technical discussion and help refine requirements rather than simply consuming them.</li><li>
Deliver consistently within a collaborative agile framework, with a track record of predictable, high quality output.</li><li>
Develop well-constructed solutions using the best tools available, avoiding fragile shortcuts taken for short-term speed or to sidestep discussion.</li><li>
Apply modern software development lifecycle practices, including code review, testing and continuous delivery.</li></ul><h5 class="jobSectionHeader"> 
What we&rsquo;re looking for 
 
</h5><ul><li>An analytical background, evidenced by a STEM degree in a technical subject. Physical sciences or mathematics are preferred.</li><li>
Strong Python skills and competency across the Python data science ecosystem such as pandas, numpy and scikit-learn, or a highly transferable equivalent.</li><li>
Experience working with LLMs and agentic AI systems, including harnesses, RAG, context engineering and evaluations.</li><li>
Experience working safely and efficiently with agentic engineering systems.</li><li>
Solid experience with data wrangling and data analysis.</li><li>
The ability to train, tune and evaluate models and prepare them for production deployment.</li><li>
A solid understanding of modern software development lifecycle practices.</li><li>
The ability to navigate typical problems independently, contribute to discussion and help shape technical requirements.</li><li>
The ability to communicate complex statistical and machine learning concepts and their results clearly, including to non-technical audiences.</li></ul><div><div>
Desirable<ul><li>
An insatiable appetite for learning and for acquiring new knowledge, skills and experience.</li><li>
Comfort operating independently on both existing and new systems while preserving and improving a consistent project structure.</li><li>
A positive force in building the team as we grow and develop into more senior positions.</li><li>
A habit of introducing new technology and practices that accelerate the team, for example through lunch and learn sessions.</li><li>
Experience in the legal industry or another regulated environment such as health or financial services.</li></ul></div></div><h5 class="jobSectionHeader"> 
What we offer</h5><ul><li>
25 days holiday (exc. bank holidays) + 3 BigHand days off between Christmas &amp; New Year</li><li>
Various wellbeing benefits including private medical, vision, online wellbeing programs &amp; webinars, access to online therapy and Employee Resource Groups (ERG)</li><li>
Company-wide Wellness day, for our teams all across the globe to switch off and spend the day doing something to nourish their mental health</li><li>
Opportunities to give back with company volunteer events and individual volunteer days</li><li>
Career growth opportunities and study leave allowance</li><li>
Family benefits including enhanced parental leave, secondary caregiver leave and fertility support</li><li>
Financial benefits including pension scheme, life assurance, and salary sacrificing</li><li>
Cycle to Work Scheme and Tech Scheme</li><li>
Growing business with a global presence, flexible working, modern offices, and remote work options</li></ul><h5 class="jobSectionHeader">
Our DEI Commitment</h5>
We welcome the unique value and individuality that you can bring to BigHand. We are an equal opportunity employer and are dedicated to recruiting solely based on capability and potential regardless of race, gender, sexual orientation, gender identity or expression, age, educational background, national origin, religion, military status or physical ability. Our BigHanders are dedicated to advancing our culture of belonging by embracing differing viewpoints, opinions, thoughts, and ideas.</div>

Data Scientist

Sportradar

<div>Company Description 
We&rsquo;re the world&rsquo;s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. 
Job Description 
The Senior Pricing Analyst is the quantitative engine behind the pricing function &mdash; answering &quot;how much&quot; and &quot;what if&quot; by building the financial, revenue, and ROI models that operationalize pricing strategy. You will work across large, multi-product revenue and operational datasets, using modern AI and analytics tooling to turn data into pricing decisions at speed, while setting the standard for modeling rigor across the team.
THE CHALLENGE
<ul><li>Build and maintain financial revenue and ROI models that translate pricing strategy into commercial decisions.</li><li>
Analyze large, multi-product revenue and operational datasets to surface pricing, margin, and profitability insights.</li><li>
Apply AI and advanced analytics tooling to accelerate modeling, scenario analysis, and data exploration.</li><li>
Create and maintain global price lists across products and content.</li><li>
Run scenario modeling and price elasticity analysis to support pricing decisions.</li><li>
Support content and product valuation, including ROI assessment for content acquisition and new products.</li><li>
Provide business-plan modeling support for new commercial initiatives.</li><li>
Partner with the Revenue Strategy team to ensure models reflect strategy and policy.</li><li>
Set modeling standards and mentor junior analysts, reviewing methodology and outputs for rigor.</li></ul>
ABOUT YOU<ul><li>
Degree in Finance, Economics, Mathematics, Statistics, Engineering, or related quantitative field.</li><li>
5+ years in financial modeling, pricing analytics, data analysis, or commercial finance.</li><li>
Demonstrated experience in financial revenue modeling and ROI modeling.</li><li>
Strong AI skills &mdash; practical use of advanced analytics tools to accelerate analysis, modeling, and insight generation.</li><li>
Proven ability to analyze large revenue and operational datasets and translate them into actionable recommendations.</li><li>
Advanced Excel and financial modeling skills; proficiency in SQL and analytics/BI tools (Python or R a strong plus).</li><li>
Exposure to sports betting/gaming, sports data, or B2B data/SaaS environments welcome.</li></ul>
Key Success Metrics<ul><li>
Pricing model adoption</li><li>
Speed of pricing updates</li><li>
Accuracy of content valuation</li></ul>
OUR OFFER:<ul><li>
A collaborative environment with colleagues from all over the world (Offices in Europe, Asia and US) including various social events and teambuilding.</li><li>
Flexibility to manage your workday and tasks with autonomy.</li><li>
A balance of structure and autonomy to tackle your daily tasks.</li><li>
Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.</li><li>
Global Employee Assistance Programme.</li><li>
Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience).</li><li>
Online training videos.</li><li>
Flexible working hours.</li></ul>
While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation&mdash;both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together.
OUR RECRUITMENT PROCESS:<ul><li>
Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.</li><li>
Two Hiring Team Interviews: Meet with the Hiring team and Hiring Manager to dive into your expertise, as also discuss team fit.</li><li>
Final Steps: Receive feedback and, if successful, an offer!</li></ul> 
Additional Information<div></div> 
At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) &ndash; we believe skills evolve over time. If you&rsquo;re willing to learn and grow with us, we invite you to join our team!</div>

Sr Pricing Analyst

DataArt

<ul><li>Position overview: DataArt is seeking a highly motivated and experienced Senior Data &amp; Analytics Consultant to join our dynamic team. In this pivotal role, you will partner with prestigious clients in the Healthcare and Life Sciences industries to tackle complex business challenges and develop impactful, solution-oriented strategies.</li><li>
As a key member of the DataArt Data &amp; Analytics Lab, you will provide strategic consulting services to both clients and internal delivery teams, driving data strategy, data-driven organizational transformation, and other critical data and analytics initiatives. Beyond project delivery, you will also contribute to the growth of the Healthcare and Life Sciences practice and the Data &amp; Analytics Lab through business development and go-to-market activities.</li></ul>
 <ul><li>Responsibilities: Forge strong, trusted advisor relationships with senior client stakeholders and internal account managers, gaining a deep understanding of their business objectives and challenges</li><li>
Lead collaborative, value-driven engagements to define and solve complex data problems, ensuring alignment with client goals and business objectives</li><li>
Collaborate with Practice Leadership and Account Management teams to develop account plans and strategies that identify and capitalize on data-driven opportunities, driving revenue growth within existing workstreams and beyond</li><li>
Serve as the principal consultant, guiding clients through complex data transformation initiatives and ensuring successful outcomes; contribute to key strategic deliverables such as mission statements, assessment results, and roadmaps to support clients' data journeys</li><li>
Actively engage in data-related pre-sales activities, including opportunity assessment, RFP responses, proposal development, and deal closure</li><li>
Support team development by mentoring colleagues and providing expertise across strategic client accounts</li><li>
Drive client value and business growth by achieving revenue targets (e.g., enabled revenue, new account acquisition) and meeting billable utilization goals</li><li>
Contribute to the Healthcare and Life Sciences practice and Data &amp; Analytics Lab by supporting go-to-market strategy, offering development, methodologies, and other strategic initiatives</li></ul>
 <ul><li>Requirements: Proven experience driving data strategy, data governance, data maturity, and data-driven transformation projects for Healthcare and Life Sciences organizations, including Healthcare Providers, Payers, Healthcare Non-profits/Associations, Pharma &amp; Biotech, Medical Devices, and others</li><li>
Extensive experience working within custom IT services, custom IT solutions, and/or IT implementation environments, with a strong understanding of the custom software development services landscape</li><li>
Experience driving change management initiatives in enterprise environments</li><li>
Experience influencing data solution design and technology selection for enterprise data platforms, warehouses, data lakes, lakehouses, and data science platforms</li><li>
Experience implementing data strategies that enable in-house AI platform development</li><li>
Experience in the Healthcare and/or Life Sciences industries in the US and Europe</li><li>
Solid knowledge of Healthcare and/or Life Sciences data regulations, such as HIPAA, GDPR, ISO 27001, and the EU AI Act</li><li>
Extensive knowledge of health data exchange frameworks, data formats, and nomenclatures, including FHIR, HL7, SNOMED, and ICD-10, as well as regulatory frameworks such as TEFCA (US) and EHDS (Europe)</li><li>
Strong understanding of data and technology consulting principles and practices</li><li>
Expertise in leading large data-driven programs and driving revenue growth within client account portfolios</li><li>
Skilled in contributing to business development and sales engineering teams or organizations</li><li>
Proven track record of managing complex technology initiatives while effectively communicating with senior business and IT stakeholders</li><li>
Demonstrated ability to develop and grow client relationships, facilitate strategy definition, and drive adoption</li><li>
Solid understanding of business operations, products, and services</li></ul>

Principal Data & Analytics Strategy and Technology Consultant, Healthcare & Life Sciences

Perk

<div>About Us 
 
Perk (formerly TravelPerk) is the intelligent platform for travel and spend management. Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we're on a mission to power real work, with real impact. 
 
We're trusted by more than 12,000 companies worldwide, including On Running, Breitling, and Fabletics, and we're tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem. 
 
Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work. 
 
At Perk, we're driven by our values, like being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel, fintech, and SaaS industries, representing over 70 countries. If you're excited about having a real impact and shaping how millions of people experience work, we'd love you on the team. 
 
Visit www.perk.com to learn more.<h2 class="jobSectionHeader"> 
About the Role</h2>
We are hiring our first Director of Go-to-Market Engineering. 
Perk's revenue organisation is 800 people selling to more than 10,000 companies. Behind them sits a CRM, an enrichment and signal stack, a growing set of AI agents - and a lot of manual work that no longer needs to exist. Your job is to remove it and to build the automated systems that replace it. 
You will own GTM Engineering end-to-end: which tools we use, how the architecture fits together, what gets built, and what it does for revenue. You report to the VP of Revenue Operations, lead a small senior team across Europe and North America, and work across SDR, Account Executive, and Account Management - a few high-impact projects each quarter. 
This is a player-coach role, and we mean it. You will be in Clay, in the orchestration logic, in the agent workflows, building alongside a team doing the same. You're using your experience to guide and coach them to accelerate the pace. 
The other half of the job is commercial. The best GTM engineers we have met can sit with a regional Sales VP, work out why their pipeline isn't converting, and leave with the right thing to build. That instinct matters more to us than any single tool on a CV.<h2 class="jobSectionHeader"> 
What You'll Do 
</h2><h3 class="jobSectionHeader">
Own the strategy and the stack</h3><ul><li>
Define Perk's GTM engineering architecture - how CRM, enrichment, signal, sequencing, orchestration and data layers fit together.</li><li>
Make the tooling calls: what we adopt, what we consolidate, what we retire, and why it pays for itself.</li><li>
Set the roadmap with the VP of Revenue Operations, Sales leadership, and the Revenue Systems and Data teams.</li><li>
Establish the standards the team builds to - version control, documentation, testing, and rollback.</li></ul><h3 class="jobSectionHeader">
Build, hands-on</h3><ul><li>
Design and build in Clay: tables, waterfall enrichment, AI columns, webhooks and API integrations in production.</li><li>
Own the orchestration layer - the logic deciding which records enter a workflow, when, and on what criteria. This is where GTM automation succeeds or fails.</li><li>
Build agentic workflows on modern LLM and agent tooling to take research, qualification, summarisation and data entry off people entirely.</li><li>
Write the code the job needs - Python, SQL, SOQL or TypeScript.</li></ul><h3 class="jobSectionHeader">
Automate across SDR, AE, and AM</h3><ul><li>
Own account prospecting automation globally: TAM sourcing, enrichment, ICP and intent scoring, prioritisation and distribution.</li><li>
Give AEs their selling time back - CRM autofill, quoting, meeting prep, opportunity hygiene, first outbounds.</li><li>
Build account intelligence for Account Management: risk signals, whitespace, account planning.</li><li>
Take each project from prototype to production properly - instrumented and validated before it scales.</li></ul><h3 class="jobSectionHeader">
Bridge commercial and technical</h3><ul><li>
Turn commercial problems into technical architecture, and technical output into impact a revenue VPs recognises.</li><li>
Understand Perk's revenue goals and how to leverage AI capabilities for us to achieve them quicker and more efficiently.</li><li>
Understand and drive clear and tangible commercial outcomes. For example, how to reduce the time that quota-carrying roles spend on non-core activities such as account research, be able to quantify the impact, and clearly communicate the outcomes to leadership.</li></ul><h3 class="jobSectionHeader">
Build the team</h3><ul><li>
Lead and grow a small, senior team across Europe and North America.</li><li>
Set clear ownership, and the review discipline that makes shipping fast also means shipping safely.</li><li>
Grow the team's technical depth and commercial judgement in equal measure.</li></ul>
What Will Make You Successful
Experience<ul><li>
Deep background across Revenue Operations, GTM Engineering, Sales Systems, Growth Engineering, or an adjacent technical commercial function in B2B SaaS</li><li>
Proven track record in GTM Engineering specifically, with delivery at real scale &mdash; systems hundreds of sellers relied on, not a pilot for one team</li><li>
Time as both a builder and a leader. This role needs both.</li></ul>
Technical craft<ul><li>
Clay expertise in production - complex tables, waterfall enrichment, webhook integrations and AI column logic that revenue teams actually depended on.</li><li>
Deep Salesforce fluency: the data model, integration patterns, and where the constraints really are.</li><li>
Working proficiency in code &mdash; Python, SQL, SOQL, TypeScript or equivalent. You pull your own data. Not all coding languages are necessary, but proficiency in one or some is required.</li><li>
Architecture instincts: you build for scale, monitoring and recovery, not just for the first successful run.</li><li>
Depth across several layers of the modern GTM stack - enrichment and data (Apollo, Clearbit, ZoomInfo, Cognism, PredictLeads), signal and intent (6sense, Bombora, UserGems), sequencing (Outreach, Salesloft), orchestration (n8n, Make, Workato), data infrastructure (Snowflake, dbt, BigQuery) and LLM and agent tooling. Nobody has all of it. We care that you have real depth somewhere and can learn the rest quickly.</li></ul><h3 class="jobSectionHeader">
Commercial instinct</h3><ul><li>
You judge your work by whether it moved a commercial metric, not by whether it shipped.</li><li>
You have the credibility with Sales leaders to scope the right build - and to say when automation is the wrong answer.</li><li>
You understand the funnel end to end: TAM, ICP, pipeline generation, conversion, expansion, and the economics underneath.</li></ul><h3 class="jobSectionHeader">
Nice to have</h3><ul><li>
Having stood up a GTM engineering function at a high-growth SaaS business, ideally above $100M ARR.</li><li>
Experience taking an automation programme from pilot to global production, including what you learned when it got bumpy.</li><li>
Multi-region GTM experience across EMEA and North America.</li></ul><h2 class="jobSectionHeader">
Why This Role</h2>
GTM Engineering is a discipline being written right now, and most companies are still treating it as a tooling function. This is the chance to own it properly, the stack, the architecture, the build, and the commercial outcome across a $300M+ revenue business with 800 people in the field, a genuine appetite for automation, and the budget and executive backing to move fast.
You would be the first person in this seat, with real systems and real data to work with rather than a blank page, and the freedom to decide what Perk's automation layer should look like. There is a lot to go after, the problems are interesting, and the impact is immediate and visible.
If you want to build the automation layer of a commercial engine at this scale and you want to still have your hands on it come and build it here.
How We Work
At Perk, we take an IRL-first approach to work, where our team works together in-person 3 days a week. As such, this role requires you to be based within commuting distance of our hubs. We fundamentally believe in the value of meeting in real life to improve connectivity, productivity, creativity and ultimately making us a great place to work.
For certain roles, we can help with relocation from anywhere in the world, English is the official language at the office. Please submit your resume in English if you choose to apply. Do not forget to submit an updated portfolio and/or resume.
Perk is a global company with a diverse customer base, and we want to make sure the people behind our product reflect that. We&rsquo;re an equal opportunity employer, which means you&rsquo;re welcome at Perk regardless of how you look, where you&rsquo;re from, or anything else that makes you, well, you.
Protect Yourself from Recruitment Scams
All official communication from Perk will always come from email addresses ending in @perk.com or @externalperk.com, our verified social media channels, or recruiters listed on our official LinkedIn page. We will never ask you to pay for equipment, training, or fees, request sensitive personal information such as bank details early in the process, or communicate through unofficial apps like WhatsApp, Telegram, or Signal. If you receive a message claiming to be from Perk that seems suspicious, please do not respond. Forward it to security [at] perk .com, and we will confirm whether it is legitimate. 
 
#LI-Hybrid</div>

Director of Go-to-Market Engineering (Revenue Operations)

Elevenlabs

<div><h2 class="jobSectionHeader">About ElevenLabs</h2>
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 $11B - multiples of 11, always. 
 
We have expanded from voice into three main platforms:<ul><li>
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.</li><li>
ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.</li><li>
ElevenAPI gives developers access to our leading AI audio foundational models.</li></ul>
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.<h2 class="jobSectionHeader">
How we work</h2><ul><li>
High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.</li><li>
Impact not job titles: We don&rsquo;t have job titles. Instead, it&rsquo;s about the impact you have. No task is above or beneath you.</li><li>
AI first: We use AI to move faster with higher-quality results. We do this across the whole company&mdash;from engineering to growth to operations.</li><li>
Excellence everywhere: Everything we do should match the quality of our AI models.</li><li>
Global team: We prioritize your talent, not your location.</li></ul><h2 class="jobSectionHeader">
What we offer</h2><ul><li>
Innovative culture: You&rsquo;ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what&rsquo;s possible.</li><li>
Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.</li><li>
Learning &amp; development: ElevenLabs proactively supports professional development through an annual discretionary stipend.</li><li>
Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.</li><li>
Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.</li><li>
Co-working: If you&rsquo;re not located near one of our main hubs, we offer a monthly co-working stipend.</li></ul>
About the role
We&rsquo;re looking for someone to join our team in Revenue Strategy &amp; Operations and play a key role in scaling our go-to-market operations. This role is at the intersection of technical problem-solving and operational excellence, focusing on building and maintaining tools, automations, and dashboards that empower our sales, data, and product teams to execute with precision.
As part of the Revenue Operations team, you'll collaborate across functions to design and implement systems that streamline sales processes, enhance decision-making, and drive growth. The GTM Strategy and Operations team operates as strategic advisors to key cross-functional partners, podded by functional area (pre- vs. post-sale) to drive revenue acceleration, insights, and business growth. This is an exciting opportunity to bring technical and analytical expertise to a fast-paced, impactful environment.
Each Revenue Strategy &amp; Operations team member serves as a dedicated partner to a specific go-to-market function, whether that's SDRs, AEs, Partnerships, or Account Management.
In this role, you will be responsible for:<ul><li>
E2E Process Management - Build and maintain strategic automations and standardized processes that support cross-functional teams and promote consistency and adoption.</li><li>
Cross-Functional Collaboration - Collaborate with cross-functional teams to drive initiatives that enhance revenue generation and operational effectiveness.</li><li>
Leadership Partnership - Serve as a trusted partner to leadership, providing strategic insights, actionable recommendations, and performance reporting.</li><li>
Experimentation - Develop and test new ideas, workflows, and sources that improve critical levers within each functional area.</li><li>
Data-Driven Strategy - Oversee analytics and performance analyses across their associated functions. Identify areas of opportunity and acceleration; build dashboards and insights that inform experimentation and guide lever improvement.</li><li>
Reporting &amp; Analytics - Lead the design and management of dashboards, reports, and key performance indicators (KPIs) to measure and enhance team performance.</li></ul>
Who you are
We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You&rsquo;ll strive with us if you:<ul><li>
Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.</li><li>
Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead.</li><li>
Are analytical, efficient, and strive on solving complex challenges with a first principles mindset.</li><li>
Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.</li><li>
Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.</li></ul>
What you bring<ul><li>
4+ years of Revenue Operations at high-growth technology companies</li><li>
Proven track record of developing and implementing end-to-end solutions, from data collection and analysis to execution.</li><li>
Can break complex problems into smaller, actionable solution steps</li><li>
Strong analytical skills, with proven expertise in SQL and data visualization using BI tools (e.g. Sigma)</li><li>
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.</li><li>
Highly adaptable, with a proactive approach to problem-solving and process improvement.</li><li>
Strong coachability and willingness to learn and adapt to new challenges.</li></ul>
What we offer<ul><li>
High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.</li><li>
A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!)</li><li>
Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings.</li><li>
Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.</li></ul>
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.</div>

Revenue Strategy & Operations - EMEA

Canoe Intelligence

<div>COMPANY: Canoe Intelligence
WEBSITE: https://canoeintelligence.com/
TITLE: Channel Manager, Wealth Management
LOCATION: Hybrid in London, UK
SALARY: &pound;95,000 - &pound;110,000 base salary + commission
The Role:
Canoe's private markets data is used by clients through a wide ecosystem of downstream reporting, fund accounting, and portfolio monitoring platforms &mdash; many of which serve institutional investors Canoe doesn't yet have a direct relationship with. As Channel Manager, you will build and own these partnerships end to end: identifying the right downstream platforms across our core EMEA markets, establishing data integrations, structuring revenue-share agreements, and turning each partner's existing client base into a qualified pipeline source for Canoe.
We are looking for candidates with a proven track record of building deep relationships with financial services firms, fintech technology companies, and other commercial partners. You have an extensive knowledge of current market conditions, contending offerings and current penetration of services and solutions. 
What You&rsquo;ll Do:<ul><li>
Identify new downstream reporting, fund accounting, and portfolio monitoring platforms serving EMEA-based LPs, asset servicers, family offices and wealth managers whose end clients represent untapped access points for Canoe &mdash; including platforms where Canoe has no existing relationship today.</li><li>
Build relationships with multiple stakeholders at existing downstream partners, to ensure healthy partnership relationships and promote commercial success.</li><li>
Develop and implement strategies to cultivate new opportunities with current and potential channel partners.</li><li>
Design and negotiate commercial terms &mdash; referral fees, revenue share, or reseller/marketplace arrangements &mdash; that make Canoe an easy &quot;yes&quot; for a partner's leadership team.</li><li>
Approach, negotiate, and close technical integration agreements with target downstream platforms, working with product and engineering to scope what a joint data pipeline looks like.</li><li>
Achieve quarterly goal of generating qualified sales opportunities from channel partners.</li><li>
Conduct high-level discovery conversations and meetings with partners and prospective clients.</li><li>
Educate partners about Canoe&rsquo;s product and articulate both Canoe&rsquo;s value proposition with prospects as well as partners.</li><li>
Conduct client, prospect, industry, competitor, and market research/analysis to inform targeted business development efforts.</li><li>
Work cross-functionally across marketing, growth, direct sales, and relationship managers to drive new business opportunities and increase revenue generation.</li><li>
Attend conferences, networking events, and other partner meetings to meet with channel partners and build Canoe&rsquo;s brand in the market.</li><li>
Track and report partner-sourced pipeline, lead volume, and conversion against target &mdash; this is the core metric leadership will use to evaluate the role.</li></ul> 
What We&rsquo;re Looking For:<ul><li>
5+ years in fintech channel/partnerships, or strategic alliances, ideally with direct experience partnering with or selling into fund administration, fund accounting, or portfolio monitoring platforms.</li><li>
Strong discovery skills, with a knack for identifying pain points and consultative selling</li><li>
Working knowledge of the EMEA alternative investment landscape &mdash; key GP/LP servicing platforms, fund domicile jurisdictions (Luxembourg, Ireland, Channel Islands), and relevant regulatory frameworks (AIFMD, SFDR).</li><li>
Proven ability to originate and close partnership agreements from scratch &mdash; this is a hunting role, not a relationship-management one. Track record of building a channel program where none existed is a strong plus.</li><li>
Comfort negotiating commercial terms &mdash; referral models, revenue share, marketplace listings &mdash; with both business and legal stakeholders on the partner side.</li><li>
Strong executive presence, able to sell a technical integration vision to both a partner's commercial leadership and their product/engineering teams.</li><li>
Self-directed and comfortable with ambiguity &mdash; much of the target partner landscape and playbook will be built by you, not handed to you.</li><li>
Fluency in CRM and partnership tooling (Salesforce or similar).</li><li>
Additional European language fluency (German) is a plus given the target markets, though not required.</li><li>
Dedication to tracking and improving performance and efficiency daily</li><li>
Strong written and verbal communication skills, with excellent listening skills</li><li>
Bias for action and a strong desire to work in a fast-paced startup environment</li><li>
A strong cross-functional collaborator who can build relationships across the company</li></ul> 
What You&rsquo;ll Get:<ul><li>
A stipend for benefits, including medical, dental, &amp; vision benefits</li><li>
Flexible PTO
</li><li>Pension contribution</li><li>
Flexible work from home policy
</li><li>Home office stipend</li><li>
Employee Assistance Program</li><li>
Gym/wifi reimbursement</li><li>
Education assistance</li><li>
Parental Leave</li></ul>
Our Values:<ul><li>
Client First &mdash;&gt; Listen, and deliver client-centric solutions</li><li>
Be An Owner &mdash;&gt; Take initiative, improve situations, drive positive outcomes</li><li>
Excellence &mdash;&gt; Always set the highest standard for yourself and others</li><li>
Win Together &mdash;&gt; 1 + 1 = 3</li></ul>
Who We Are:
Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe&rsquo;s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe&rsquo;s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.
Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.</div>

Channel Manager, Wealth Management

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Payments sit at the center of the global economy, connecting businesses and consumers around the world. You will join a team driving innovation in this fast evolving space as new technologies reshape how money moves. In this role, you will work at the forefront of modern machine learning and generative AI to deliver meaningful, lasting impact on global finance. You will partner closely with product, operations, risk, and technology teams to turn ideas into measurable outcomes. You will also have opportunities to mentor others and help shape how we build and operate production AI. 
 
As a Vice President Machine Learning Data Scientist in Payments Machine Learning, you will lead the design, development, and production deployment of machine learning applications, including generative AI and agentic systems, on cloud infrastructure. You will own end-to-end delivery from problem framing and experimental design through scalable MLOps, evaluation, governance, and integration with strategic systems. You will help set technical direction, establish reusable patterns, and ensure solutions are reliable, secure, and observable in production. You will mentor engineers and data scientists and translate complex technical work into clear decisions and outcomes for stakeholders.
Job Responsibilities<ul><li>
Lead end-to-end delivery of machine learning and AI solutions for complex payments and banking operations problems, from discovery and framing to production rollout and lifecycle management</li><li>
Develop innovative machine learning solutions, including generative AI and multi-agent approaches, and define evaluation, safety, and monitoring strategies for production use</li><li>
Own production deployment patterns including containerization, continuous integration and delivery, automated testing, model and prompt registries, model and version governance, monitoring and alerting, and rollback strategies</li><li>
Architect and deploy scalable, reliable, and secure machine learning and large language model services integrated with strategic platforms and downstream consumers across APIs, batch, streaming, and event-driven patterns, meeting service level objectives</li><li>
Partner with product, operations, risk and control, and technology teams to influence roadmaps, align on requirements, and deliver data-led transformations</li><li>
Establish reusable, modular data science and machine learning capabilities that scale across use cases, including feature engineering, evaluation harnesses, prompt tooling patterns, agent frameworks, orchestration, and context and memory management</li><li>
Provide technical leadership and mentorship through code reviews, design reviews, best practices, and upskilling across data science and engineering partners</li><li>
Communicate with technical and non-technical stakeholders, translating model outputs into decisions, tradeoffs, and operational plans</li><li>
Maintain strong documentation for approaches, model cards, runbooks, and operational procedures</li></ul>
Required Qualifications, Capabilities, and Skills<ul><li>
Master's degree in a quantitative field, or equivalent practical experience</li><li>
Deep understanding of machine learning fundamentals with strong applied data analysis skills</li><li>
Demonstrated experience designing rigorous evaluation and measurement in real-world settings</li><li>
Demonstrated experience deploying and operating machine learning models in production at scale, including monitoring, drift and performance management, reliability, incident management, and continuous improvement</li><li>
Strong Python software engineering skills, including modular object-oriented design, testing, performance tuning, and debugging</li><li>
Working knowledge of MLOps and LLMOps and distributed systems, including training and serving patterns, batch versus real-time architectures, feature stores, orchestration, and scalable data processing</li><li>
Ability to design intrinsic and extrinsic evaluations aligned with business goals, including offline and online alignment and guardrails for unintended outcomes</li><li>
Experience working in regulated environments with awareness of model risk, controls, privacy and security, and audit-ready documentation</li><li>
Strong stakeholder management and teamwork skills, with the ability to drive outcomes in partnership with cross-functional teams</li></ul>
Preferred Qualifications, Capabilities, and Skills<ul><li>
Experience with NLP and generative AI, including large language models, retrieval-augmented generation, tool and function calling, agentic workflows, multi-agent orchestration, and related evaluation and safety patterns</li><li>
Familiarity with agentic building blocks and standards, including orchestration frameworks, context and memory management, and interoperability protocols such as MCP</li><li>
Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit-learn, NumPy, pandas, SciPy, and statsmodels</li><li>
Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention to cost, latency, performance, security, and scaling</li><li>
Experience integrating human-in-the-loop and user feedback signals into iterative improvement, including active learning, preference signals, and labeling strategies</li></ul>
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI ML Data Scientist, Vice President - Payments

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