
Stripe · Singapore
Go-to-Market Recruiter, Asia-Pacific Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the wor...
Go-to-Market Recruiter, Asia-Pacific
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the
most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission
is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented
opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The recruiting team seeks to build the culture of Stripe by aligning the strongest global talent to our highest-impact business
needs. They focus on bringing Stripe's operating principles to life in their recruiting processes, providing the highest-quality
candidate experience, and leveraging data-driven storytelling to influence the business.
What you'll do
To further this important mission, we're looking for consultative and creative recruiters to grow and scale our Go-to-Market (GTM)
team.
The GTM organization at Stripe encompasses our Sales team, Marketing and Sales Development, GTM and Product Operations, and
Professional Services. These teams are expanding in the region, focusing on bringing new users onto the Stripe platform,
supporting our existing users' scale, and growing their businesses. You can expect high-impact and wide-ranging
responsibilities—owning full-cycle recruiting, driving hiring strategy, and delivering best-in-class candidate experience.
You're a builder who thrives in a learning environment—unafraid to try new things, embrace new ideas, and welcome suggestions for
how we can iterate on our processes.
Responsibilities
aimed at achieving headcount goals, with an emphasis on expanding our GTM teams in APAC
transparency and alignment with goals
for current and future hiring needs
recruiting strategies and address potential challenges
and high-quality candidate experience
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you
are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
Preferred Qualifications
SENIOR LEADER, FIELD SALES TALENT ACQUISITION Talent Acquisition | London ABOUT THE TEAM SumUp's Field Sales hiring engine delivers close to 2,000 hires per year across 12+ European markets — and that number is growing. The Talent Acquisition team sits at the centre of SumUp's commercial expansion, translating business growth ambitions into hiring execution across some of our most strategically important markets. We're ready to move from reactive delivery to a structured, scalable hiring engine — and this role is how we get there. You'll report directly to the Global Head of TA, with a dotted line to the CCO and VP of Sales based in London, reflecting how central this work is to SumUp's commercial success. WHAT SUCCESS LOOKS LIKE This role will have made an impact when you, * Turned Field Sales hiring into a reliable, measurable engine — which is visible, trusted, and predictable across every market * Built a team that doesn't depend on you — a high-autonomy, high-accountability TA function where recruiters know what good looks like * Made TA a real commercial partner — working alongside Sales and Commercial leadership to shape hiring plans * Created clarity from complexity — across tools, workflows, and standards, so that recruiters in different markets are working from the same playbook and producing comparable results YOU'LL THRIVE HERE IF YOU'RE… * Experienced in building and leading high-volume / sales / GTM TA across multiple markets, with a strong instinct for what a healthy funnel looks and feels like * A systems thinker who goes upstream and fixes root causes rather than managing symptoms * Pragmatic and action-oriented, you make progress without waiting for perfect conditions * A people leader who measures success by how well the team runs without you * Comfortable with ambiguity, low on ego, and more focused on outcomes than credit * An open, direct communicator who can engage effectively across the business, from your team to senior leadership * Naturally collaborative, with a track record of building strong cross-functional relationships through the quality of your work and thinking WHY YOU SHOULD JOIN SUMUP 🌎 Opportunity to work with a truly global, multicultural team from our central Covent Garden location — office-first setup 🌈 Commitment to Diversity and Inclusion: a workplace that values every perspective 🚀 Virtual Stock Option programme: own a stake in SumUp's future success 🏖 28 days paid leave, plus bank holidays and special leave 📚 Dedicated annual L&D budget for conferences and further education 🏥 Private health insurance, including optical and dental 🚗 Salary-sacrifice commuter benefits via Gogeta 💼 Retirement scheme — SumUp matches 7% when you contribute 5% 🛡 Life insurance from MetLife for 2× your salary 🌴 Break4me: 1-month sabbatical after 3 years of service 🔗 Referral Bonus: earn additional rewards by referring great people to SumUp ABOUT SUMUP At SumUp, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 37 markets rely on SumUp as their financial partner to manage payments, finance and customer relationships. Our team of over 3,000 SumUppers from 90+ nationalities is united by global collaboration and an innovative mindset. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. SumUp is proud to be an Equal Employment Opportunity employer. We don't make hiring or employment decisions based on race, colour, religion, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, or any other basis protected by applicable laws. Discover more on our careers website, and follow our journey on LinkedIn, Instagram, and TikTok. 📽 Want to bring this role to life on LinkedIn or your job post? Browse the Global Employer Brand video library for ready-to-use content. Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.
GTM Operations & Strategy at MongoDB is a global team of builders and innovators focused on unleashing MongoDB’s sales greatness by pairing world‑class analytics with scalable operations. Within GTM Operations, the GTM Intelligence – Applied Science team turns complex GTM data into tools, models, and insights that help our sales organization make better, faster decisions across our people, segmentation, territory design, forecasting, and account prioritization. As a Senior Analyst on the Applied Science team, you will own high‑impact analytical workstreams end‑to‑end: from problem framing with senior GTM stakeholders, to data engineering and model design, through to productionalized workflows, dashboards, and executive‑ready narratives that drive concrete changes in the field. This role is based in Dublin, Ireland and supports a global stakeholder set across regions and GTM functions. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. WHAT YOU’LL DO * Translate GTM questions into analytical projects * Partner with GTM Ops, Sales Strategy & Planning, Sales Leadership, and Central Analytics to scope problems, define success criteria, and prioritize work across areas like segmentation, territory design, account prioritization, and pipeline/forecast health. * Structure ambiguous questions into hypotheses, analytical plans, and clear recommendations for senior stakeholders (SVPs, RVPs, functional leaders). * Design and build scalable analytics & models * Develop and maintain statistical and machine learning models (e.g., NARR prediction, deal qualification, account momentum, workload identification) that inform forecast expectations, territory assignments, and deal prioritization. * Engineer robust data pipelines and features (SQL/Python) on top of our GTM data stack (Salesforce, product usage, call transcripts, marketing signals, etc.) in partnership with data and platform teams. * Own core GTM analytics assets * Contribute to flagship programs such as Forecasting 3.0 / Atlas Forecasting Calculator, Customer 360 Revamp, GTM Metrics 3.0, and territory optimization initiatives, ensuring they are statistically sound, explainable, and operationally durable. * Build and govern self-serve analytics assets (e.g., Sigma workbooks, curated datasets) that allow GTM stakeholders to answer their own questions safely and consistently. * Turn analysis into decisions and change * Deliver concise, executive‑ready narratives (memos, scorecards, and QBR/MBR content) that highlight trade‑offs and explicit recommendations, not just data and charts. * Run stakeholder working sessions to align on scenarios, validate model outcomes, and embed recommendations into operating rhythms (e.g., segmentation reviews, annual planning, forecast calls). * Advance our GTM data & AI foundations * Help shape and exploit new GTM data sources such as call transcript modeling, workload inference, and account intelligence to unlock novel scoring and routing use cases. * Partner with Central Analytics and GTM Tech on best practices for testing, monitoring, documentation, and change management for GTM models and analytics products. * Coach, document, and uplevel the org * Create clear documentation, playbooks, and training to help other analysts and GTM stakeholders understand and safely use the models, tools, and datasets you own. * Contribute to a strong culture of technical rigor, peer review, and knowledge sharing within Sales Intelligence and the broader GTM Operations community. WHAT WE’RE LOOKING FOR Experience * ~4–7+ years in analytics, sales operations, data science, or strategy/consulting roles supporting B2B or SaaS go‑to‑market teams (or equivalent high‑impact analytical experience). * Demonstrated track record owning complex analytics projects end‑to‑end (from scoping through production deployment and stakeholder adoption), ideally in forecasting, segmentation/territory design, or account/deal scoring domains. * Experience working directly with senior commercial stakeholders (e.g., Sales/GTM leaders) and turning analysis into concrete decisions and measurable business impact. Technical Skills * Advanced SQL and strong Python (or equivalent) for data wrangling, feature engineering, and statistical / ML modeling. * Comfort working with large, messy datasets spanning CRM (Salesforce), product usage, and marketing/sales engagement tools. * Experience with at least one modern BI / analytics environment (e.g., Sigma, Looker, Tableau) and building self‑serve, governed assets for business users. * Solid grounding in statistical thinking (sampling, backtesting, lift/impact measurement) and model validation practices. Problem‑Solving & Communication * Ability to decompose ambiguous business questions into structured analytical plans, with clear assumptions, risks, and trade‑offs. * Strong written and verbal communication: you can explain complex models and data decisions in simple, GTM‑friendly language and build trust with non‑technical stakeholders. * Bias toward action and ownership: you are comfortable making recommendations under uncertainty and iterating as new data arrives. NICE TO HAVE * Prior experience in Sales Operations / Revenue Operations or GTM Strategy at a high‑growth SaaS company. * Experience with forecasting and timeseries models, or commercial applications of NLP / LLMs (e.g., call transcript analytics, opportunity notes analysis). * Familiarity with MongoDB’s ecosystem (Atlas, GTM motions, sales process) or similar modern cloud data platforms. * Experience contributing to cross‑functional programs such as Customer 360, self‑serve analytics initiatives, or GTM data/metrics standardization. ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 2273430764
REQ ID: FEQ327R463 Recruiter: Dina Hussain Location: London, United Kingdom Industry Sector: Energy, Resources and Utilities sectors As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK&I expansion with a specific focus on the Energy and Resources sector. Your experience partnering with sales organisations will help to drive accelerated adoption of the platform in customers, demonstrated by revenue growth, while coaching new sales and pre-sales team members to work together. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. You will report to the Senior Director, Field Engineering. The impact you will have: * Manage hiring, onboarding and building your Pre-Sales Solutions Architect team * Where required, rapidly scale the designated team without sacrificing quality * Use AI natively yourself to drive efficiency and scale * Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture * Support an increase in consumption revenue through the investment of Solutions Architect involvement in sales cycles * Promote a solution and value-based selling field-engineering organisation * Display an understanding of business needs and revenue potential for accounts in the assigned region * Build Databricks' brand in UK&I in partnership with the Marketing and Sales team * Lead from the front by engaging directly with key customer stakeholders to ensure and speed up customer projects and technical implementation decisions * Help Databricks continue to expand by winning hearts and minds as we evolve our processes to support our business and technical growth What we look for: * AI native builder mentality - using AI to enhance your own productivity and that of your team is a non-negotiable * Experience in a pre-sales leader role - developing, managing and building a team of successful Big Data, AI, or Cloud professionals. * Experience in a customer-facing role across the Energy, Resources and Utilities sectors in the UK and Ireland * Experience in developing go-to-market (GTM) strategies * Experience in complex strategic accounts * Have experience scaling and mentoring field and technical teams * Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models * Great at instituting processes for technical field members to improve efficiency * Market experience of the UK&I region About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.