**This role is open to candidates currently residing in Portugal**

We are seeking a detail-oriented Data Quality Specialist to support research, documentation, and content management activities. This role involves gathering and analyzing technical data, ensuring accurate entry into database systems, and creating high-quality content to help thousands of resellers and retailers convert shoppers into buyers every day.

HOW WE’LL BE WINNING TOGETHER DAY TO DAY

• Conduct online research to retrieve data.
• Verify and collect product specifications.
• Consumer Electronics and Network Hardware knowledge is a plus.
• Accurately enter retrieved data into an English-language database.
• Strive for database consistency and standardization to improve product clarity, accuracy, and quality.
• Perform additional tasks and projects assigned.

WE SHOULD TALK IF THIS SOUNDS LIKE YOU 

• High school diploma or higher education. 
• Experience in the technology retail world is a plus. 
• Research Proficiency: Ability to conduct accurate online research.
• Technical Knowledge: Intermediate understanding of Consumer Electronics and Network Hardware and Software products is valued.
• Data Entry Accuracy: Strong attention to detail for entering and maintaining data in English-language databases and analyze large volumes of information effectively.
• Language Skills: Advanced written and spoken English for clear communication and data entry.
• Time Management: Capability to handle multiple tasks and meet deadlines.
• Collaboration & Independence: Proven capability to work independently while also contributing effectively as part of a team.
• Goal Orientation & KPI Achievement: Demonstrated ability to prioritize tasks and consistently meet or exceed key performance indicators (KPIs) and organizational goals.
• Humility & Continuous Learning: Willingness to learn new concepts, accept feedback constructively, and adapt to evolving processes and technologies.

Role Overview

The Information Security Analyst will support a wide range of information security, vendor management, procurement, audit, and technical security activities across the business. The role involves working closely with teams such as Legal, Procurement, IT, and Engineering to ensure security best practices are embedded in company processes and supplier relationships.

This position would suit someone with experience in roles such as IT Helpdesk, IT Operations, Risk & Compliance, Internal Audit, or Security Operations who is looking to develop a career in Information Security.

Key Responsibilities:

Commercial Support

• Assist with RFP responses and client security questionnaires.
• Support client annual security audits and due diligence requests.
• Respond to internal and external queries relating to information security controls.
• Review and interpret security-related contractual clauses, including data protection, data retention, and audit requirements.

Procurement & Supplier Due Diligence

• Support the supplier security due diligence process for new vendors.
• Participate in procurement and supplier onboarding discussions.
• Collaborate with teams to ensure suppliers meet company security standards.

Vendor Risk Management

• Maintain annual vendor due diligence reviews and documentation.
• Track supplier inventories and criticality ratings.
• Monitor performance and risk indicators for key suppliers (SLA breaches, downtime, incidents, and news).
• Support projects such as fourth-party risk assessments and information gathering.
• Monitor scope changes in vendor products and services as they become available.
• Work closely with Legal, IT, and Security teams on emerging topics such as AI usage and third-party tools.

IT & Technical Security

• Work with IT and Security teams to research new technologies and integrations.
• Support technical security initiatives and projects.
• Conduct data flow mapping and architecture documentation.
• Assist in evaluating system integrations (for example applications connected to CRM platforms).
  
  

Audit & Compliance

• Support ongoing security and compliance programmes including ISO/IEC 27001 and SOC 2.
• Assist with internal audit activities and control checks.
• Help maintain documentation and evidence required for audits and certifications.

Required Skills:

• Experience working with similar roles, ideally in IT support, security operations, compliance, or internal audit.
• Good understanding of core IT and security concepts such as:
  
  
• Endpoint management
• Identity and access management
• APIs and integrations
  
  
• Ability to work across multiple teams and communicate effectively with both technical and non-technical stakeholders.
• Strong organisational skills and ability to manage projects and documentation.
• Comfortable handling both operational tasks and more complex security projects.
• Ability to build strong internal relationships and collaborate across departments.
• Pragmatic and solution-oriented approach to information security.
• Experience working with or evaluating AI tools and products

Candidates should ideally have:

• A relevant qualification in Information Security, IT, Cybersecurity, or Computer Science, or
• Relevant professional certifications (or working toward them), such as:
• ISO 27001 Lead Implementer / Lead Auditor
• CISA or similar
• Equivalent hands-on experience in IT, security, or audit roles will also be considered.

Nice to Have:

• Experience with security audits or compliance frameworks such as ISO 27001, SOC 2, FedRAMP & ISO 42001
• Familiarity with ticketing or workflow tools such as Jira.
• Exposure to vendor risk management or supplier due diligence.

Benefits:

• Equity as we want you to have a part of what we are building 
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical 
• Budget to set up your home office upon joining
• Annual learning budget to drive your performance and career development
• Comprehensive Private Health Insurance through Advancecare
• Work from anywhere policy up to 90 days during the year
• Team events across the year, from board games in the office to a team building in a different location

Highlights

• Location: Spain, Remote (core hours 9:00–18:00 CET)
• Stock options
• Languages: Fluent in English and Russian
• Reports to VP, Product

About Fundraise Up

Fundraise Up is a global fundraising platform that powers tens of millions of dollars in donations every month for leading nonprofits — including UNICEF, the Alzheimer's Association, and a wide range of global NGOs. We're known for product quality, performance, and a 4.9/5 rating across top review platforms.

As we scale the core, we're deliberately investing in high-risk, high-upside product bets that could define the future of digital fundraising. That's where the Lab comes in.

The Lab

The Lab is Fundraise Up's 0→1 track. It operates ahead of the roadmap, investigating opportunities driven by new technologies, AI, data, and infrastructure shifts — often before there's a clear buyer or demand signal.

The Lab does not run scaled products. It finds, validates, and hands off the ones worth scaling.

The Role

This is a player-coach role. You'll build and lead the Lab function while personally owning 1–2 of the highest-leverage bets.

Your job is to reduce uncertainty, not ship features. You'll own ideas end-to-end — from hypothesis framing through fast experiments to explicit investment decisions: scale, pivot, or kill. Most ideas should die early. A few may graduate into Core or New Products with strong evidence behind them.

Success = learning velocity, decision quality, and team leverage — not output volume or adoption.

Key Responsibilities

• Portfolio & Strategy: Own the Lab bet portfolio. Size opportunities, set entry/exit criteria, and make decisive scale/iterate/kill calls. Maintain a visible exploration backlog.
• Experimentation: Frame experiments around the single riskiest assumption. Define kill criteria before building. Choose the right fidelity (prototype, spike, wizard-of-oz, no-code, live pilot). Ship fast and protect learning speed.
• Investment Decisions: Synthesize results into opinionated recommendations. Communicate what was tested, learned, and what remains unknown. Kill zombie initiatives — every experiment ends with a decision.
• Handoffs: When a bet shows strong signal, prepare validated hypotheses, evidence packs, risks, and a proposed scaling model. Transfer ownership fully.
• GTM & Partnerships: Source and close lighthouse pilots with clear scope, metrics, and off-ramps. Identify enabling partners and join strategic calls to move pilots to business validation.
• Team: Build a repeatable Lab Operating System (pipeline reviews, kill reviews, demo days, post-mortems).
• AI & Transparency: Use AI tools to accelerate research, synthesis, and prototyping. Explore AI-enabled product ideas with a realistic lens on cost, data, and accuracy. Publish decision memos and share failed experiments openly.

What Great Looks Like in 12 Months

• 3–5 high-risk bets tested with clear outcomes (scaled, iterated, or killed with rationale)
• 1–2 bets graduated to New Products or Core with evidence packs and clean handoffs
• A transparent kill list that saves months of misdirected effort
• A functioning Lab team with clear ownership, experiment discipline, and stakeholder trust
• A repeatable Lab Operating System that compounds learning

Requirements

Experience (Must-Have)

• 8–10+ years in Product with a proven 0→1 track record
• Personally owned multiple high-risk bets with explicit go/kill decisions
• 3+ years managing PMs (player-coach or group lead)
• Fluency across validation tools: discovery, prototypes, engineered MVPs — knows when each is appropriate
• Cross-functional leadership across Eng/Design/Analytics and GTM; comfort in pre-sales/pilot settings
• Experience where learning speed mattered more than polish and real downside risk was present

AI & Technical Judgment (Critical)

• Hands-on experience using AI as a product-building and exploration tool
• Can prototype with LLMs, APIs, or modern tooling and ship a functional prototype quickly
• Able to scope AI experiments realistically and judge feasibility without full engineering validation
• Can spot capability shifts and turn them into testable hypotheses
• Evaluates build vs. buy vs. partner decisions

This background often comes from: founder/co-founder roles, early-stage startups, internal labs/innovation teams, or new market bets inside larger companies.

Bonus

• Ex-founder with a clear ship/scale/kill story and measurable outcomes
• Payments, fintech, e-commerce, or nonprofit domain experience
• EU market familiarity (PSD2/SCA, data/privacy norms) and additional languages

This Role Is Not For You If…

• Your background is mostly in roadmap-driven delivery with stable scope
• You prefer incremental optimization of mature products
• You need long planning cycles and large teams to move
• You avoid pilot conversations or hesitate to ask customers for real commitments
• Ambiguity makes you uncomfortable

Why Work With Us

• Real ownership over high-impact bets with the authority and team to pursue them
• Leadership that values clear thinking over activity
• Permission — and expectation — to kill bad ideas early
• Access to real customers, real data, and real constraints
• Flat structure, transparent culture, and equity participation

Benefits

Our compensation package includes comprehensive benefits and perks, meaningful equity, and a competitive salary:

• Private medical insurance for the employee and their family
• 22 paid vacation days per year
• Up to 14 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses.
• Relevant professional education.
• Gym or swimming pool.
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• Co-working.
• Remote working.
• €50 monthly allowance to cover internet and mobile phone expenses

Highlights:

Location: Portugal, Remote

Language: Russian-speaking team; Professional working proficiency in English (B1 or higher)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We’re looking for a Product Analyst to join the Donor Portal (Donor Experience) team. The Donor Portal team owns the post-donation experience – everything that happens after a donor completes a donation. The team focuses on reducing churn and increasing subscription LTV by improving subscription management within the donor portal (pauses, amount changes, skipping charges, etc.), as well as enhancing donor communications via email.

What You’ll Do

• Run A/B tests
• Identify insights in data, conduct research, and help product teams uncover growth opportunities.
• Work with retention rate and subscription/supporter LTV metrics.
• Design and build data marts.
• Develop and maintain BI dashboards.
• Handle ad-hoc requests from product teams.

Requirements

• 5+ years of professional experience as a Data Analyst or Product Analyst.
• A strong foundation in mathematical statistics and probability theory.
• Advanced proficiency in SQL.
• Expertise in Python and its data analysis libraries (NumPy, Pandas, Matplotlib, Scikit-learn).
• Hands-on experience with BI tools (Tableau, Power BI, Metabase).
• Strong written English for clear documentation and communication.
• A proactive, detail-oriented mindset with a passion for solving complex problems.

Our Tech Stack

• Languages & Libraries: Python
• Databases: ClickHouse, MongoDB, PostgreSQL
• BI & Visualization: Tableau, Grafana
• Orchestration: Airflow
• Version Control: Git

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 22 paid vacation days per year
• Up to 14 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses.
• Relevant professional education.
• Gym or swimming pool.
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• Co-working.
• Remote working.
• €50 monthly allowance to cover internet and mobile phone expenses

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights

• Location: Portugal, Remote (CET)
• Stock Options
• Language: Russian-speaking team; English fluency required (C1)

About Fundraise Up

We’re Fundraise Up — a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Our platform powers tens of millions of dollars in monthly donations for nonprofits including UNICEF and the Alzheimer’s Association, with a 4.9/5 rating across top review platforms.

About the Role

The Core Markets team is responsible for scaling Fundraise Up from $50M toward $200M+ ARR. We are looking for a senior Product Manager to own a strategic direction within Core Markets — one that requires thinking in years, not quarters.

This is an individual contributor (IC) role with no dedicated dev team of your own. You will work closely with GTM, and other Product Managers to identify the biggest opportunities, build conviction from evidence, and shape the long-term product strategy for your domain. The person who comes in will define what this area looks like — that’s both the challenge and the opportunity.

You are not here to execute a roadmap that already exists. You are here to figure out what the roadmap should be, make the case, and drive it forward.

What You’ll Do

• Define the long-term product strategy for your domain within Core Markets — from initial research and market analysis through to a coherent, evidence-backed direction.
• Turn heterogeneous customer and market signals into structured, rigorous cases that can drive organizational decisions — not “I talked to five customers”, but a properly constructed argument.
• Work closely with GTM to understand market dynamics, competitive landscape, and go-to-market opportunities in your domain.
• Identify and size the most impactful product bets; present strategy, hypotheses, and learnings to leadership and stakeholders.
• Collaborate with Product Owners who handle delivery; your job is to set direction and create conviction, not to manage sprints.
• Build business cases with a clear commercial lens: TAM, revenue opportunity, risk, prioritization.

Requirements

• Senior Product Manager or Head of Product level, with experience owning large, strategic product areas.
• Exceptional at structuring ambiguous problems — you can take messy information and produce a clear, defensible framework.
• Strong business and commercial thinking: you connect product decisions to revenue and market outcomes.
• Experience working at both a large company and a small/startup company.
• Comfortable as an IC: you’re excited to contribute individually at a high level rather than manage a team.
• Experience collaborating with GTM (Sales, Marketing, Partnerships) and influencing without authority.
• Fluent English (C1+) and Russian.

Bonus Points

• Background in management consulting followed by a move into product — this combination is highly valued.
• Experience working with or in international teams
• Prior experience as a “Principal PM” or equivalent senior IC role.
• Comfort operating in a fast-scaling environment with limited defined processes.

Why Join Us

• Enormous scope of impact: the business is growing fast and this role has a direct line to its trajectory.
• Work directly with the CPO and leadership on defining the future of the product.
• Flat structure, no politics, genuine ownership.
• Transparent culture and long-term equity upside.

Benefits

• Private medical insurance for the employee and their family
• 22 paid vacation days per year
• Up to 14 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses.
• Relevant professional education.
• Gym or swimming pool.
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• Co-working.
• Remote working.
• €50 monthly allowance to cover internet and mobile phone expenses

Highlights

• Location: Portugal, Remote (CET)
• Stock Options
• Language: Russian-speaking team; English fluency required (C1)

About Fundraise Up

We’re Fundraise Up — a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. Our platform is trusted by leading nonprofits including UNICEF and the Alzheimer’s Association, with a 4.9/5 rating across top software review platforms.

About the Role

The Core Markets team is responsible for scaling Fundraise Up from $50M toward $200M+ ARR. We are looking for a Product Manager who will own the internationalization of our product — taking what works brilliantly in the US and successfully replicating it in the UK and Europe.

This is a high-ownership, delivery-intensive role. You will navigate regulatory, legal, payment, and localization requirements across markets, coordinate multiple product and GTM teams, and drive end-to-end launches. You are the person who gets things across the finish line.

What You’ll Do

• Identify and prioritize international markets based on volume potential and ease of entry — combining market research with business judgment.
• Define the full scope of product adaptations required: local compliance, payment methods, language/UX localization, regulatory requirements.
• Act as the central coordinator across legal, finance, product, and GTM — translating scope into delivery by aligning multiple teams around a shared timeline.
• Work closely with Product Owners who will execute delivery; your job is to orchestrate and unblock, not to disappear after scoping.
• Own the launch end-to-end — from market selection through go-live — and track outcomes post-launch.
• Communicate progress, risks, and learnings to leadership and cross-functional stakeholders.

Requirements

• Proven experience as a Product Manager with a track record of shipping in complex, multi-stakeholder environments.
• Strong delivery mindset: you get things done, meet commitments, and treat alignment gaps as your problem to solve.
• Experience working at both a large company (process, structure, scale) and a small/startup company (speed, ambiguity, hands-on work).
• Prior experience with product localization, internationalization, or multi-market expansion.
• Comfortable working without a dedicated development team — you lead through influence across shared resources.
• Experience collaborating with GTM teams (Sales, Marketing, Partnerships, CS).
• Fluent English (C1+) and Russian.

Bonus Points

• Background in payments, processing, or banking (deep familiarity with regulatory environments).
• Experience launching products in the UK or EU markets specifically.
• Comfort operating without defined processes — you build the system while delivering the result.

Why Join Us

• Large, direct impact on the company’s international growth trajectory.
• Flat structure: no politics, just great work with great people.
• Transparent culture — we share how we’re growing, where revenue comes from, and what’s next.
• Equity options and long-term focus.

Benefits

• Private medical insurance for the employee and their family
• 22 paid vacation days per year
• Up to 14 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses.
• Relevant professional education.
• Gym or swimming pool.
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• Co-working.
• Remote working.
• €50 monthly allowance to cover internet and mobile phone expenses

Highlights:

Role: Senior ML-Engineer, Finance

Location: Portugal, Remote

Language: Strong English required (C1)

About Us

Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.

The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.

We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.

The Team

Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.

We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.

About the Role

We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.

This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.

What You’ll Do

• Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
• Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
• Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
• Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
• Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
• Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
• Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
• Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.

Challenges You'll Navigate

• At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
• A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
• All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.

Requirements

• 5+ years of ML/DS experience solving real product problems
• Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
• Proven experience with large-scale web scraping and data pipeline construction
• Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
• Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
• Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
• MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
• Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production

Our Tech Stack

Core: Python (uv, ruff), FastAPI, Pydantic, Docker

Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)

Data: ClickHouse, MongoDB, pandas, Polars, Redis

MLOps: MLflow, Airflow

Monitoring: Grafana, Sentry

Infra: linux server admin, distributed computation

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 22 paid vacation days per year
• Up to 14 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses.
• Relevant professional education.
• Gym or swimming pool.
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• Co-working.
• Remote working.
• €50 monthly allowance to cover internet and mobile phone expenses

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights

• Base Salary: €4,100 - €5,200 gross
• Location: Portugal Remote
• Stock options
• Languages: Fluent in Russian and English 

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

The Team

We are a distributed team of 160+ product professionals. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. 

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset.

About the role

Fundraise Up is building high-trust donation and fundraising experiences that help nonprofits grow their impact. We’re looking for a UX Researcher to join our Product Research Team and raise the quality, speed, and decision-making power of research across the product.

This role combines classic UX research and Product Discovery: new markets, segments, and product opportunities. You will work across both B2C and B2B contexts: donor-facing experiences (B2C) and nonprofit/org-facing workflows (B2B).

What You'll Do

• Take a research initiative from the quarterly plan and run it end-to-end: intake brief → write methodology → conduct research → analyse → synthesize → present → push actions.
• Choose the right method: interviews, usability tests, concept tests, surveys, desk research, competitive scans or others — based on uncertainty level, business goals, and timeline.
• Set up the mechanics: access to tools/data, participant scheduling and confirmations, session logistics, note-taking, recording, and documentation — no hand-holding.
• Be the cross-team “glue”: proactively collect hypotheses and context from Sales, Customer Success, Support, Marketing, Analytics, and turn them into testable research questions.
• Stay close to product analytics: monitor dashboards and reports, work with analysts to spot anomalies/drop-offs, form hypotheses, and prioritize what to validate with research.
• Produce outputs people can use immediately: key findings, decisions, trade-offs, risks, and clear recommendations, with supporting evidence (quotes, clips, metrics).
• Keep an internal pulse: regularly review existing research, past studies, competitor insights, and synthesize what’s already known before running something new.
• Be the user best friend: ensure user needs and constraints are represented in product decisions – not just opinions.

Requirements

• Proven experience running research end-to-end with high ownership.
• Strong methodological toolkit and judgment: you can pick the right method for the question, given business goals, timelines, and uncertainty, and explain trade-offs clearly.
• Experience working across both B2C and B2B products and audiences.
• Fluent English — all participants are English-speaking; you moderate and present in English.
• Can work with analytics: read dashboards, spot anomalies/drop-offs, form hypotheses, and validate them via research; PostHog/Tableau is a plus.
• Regularly collect input from Sales, CS, Support, Marketing, Analytics and turn it into testable research questions.
• High research quality bar: structured methodology, and ethical practice.
• Use recruiting platforms and handle logistics yourself: access, scheduling, confirmations, tool setup, etc.
• Use AI tools to speed up ops and synthesis (guides, notes, tagging/themes, survey drafts, summaries) while keeping human judgment and methodological rigor where it matters.
• You don’t need to be a marketer, but you should understand core terms and how they affect research and insights.
• Be the team’s source of new knowledge: run a “research radar” across internal learnings, market/competitor moves, and high-signal UX/product sources, then share regular updates so the team stays current and avoids blind spots.
• Bring exceptional empathy and care for people: our users are nonprofits and donors—people doing good in the world—so you approach participants with respect, sensitivity, and high ethical standards.

Strong plus

• NN/g certifications.
• Academic/scientific research background (graduate/PhD track).
• PostHog / Tableau (or similar analytics tools).
• Productboard (or other insights repository tools).
• Mentoring/teaching (workshops, onboarding, sharing research craft).

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• Private medical insurance for the employee and their family
• 22 paid vacation days per year
• Up to 14 paid public holidays per year
• 5 company-paid sick leave days
• English learning courses.
• Relevant professional education.
• Gym or swimming pool.
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• Co-working.
• Remote working.
• €50 monthly allowance to cover internet and mobile phone expenses

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

About the Role

iCapital is looking for a Assistant Vice President Information Security Engineer to join the Information Security team. This role will establish and manage cloud security programs, build new security architecture, automation, enforce application security processes and continuously find security gaps across iCapital technology. The ideal candidate is an experienced individual contributor and leader who can do research, design and implement security technologies, manage small teams of engineers, and is able to empathize and connect teams cross-functionally.

Responsibilities

• Build and manage Cloud Security Programs for AWS, Azure, and GCP infrastructure, providing continuous monitoring and resolution of all the vulnerabilities in our cloud environment.
• Implement resolutions of security misconfigurations.
• Collaborate with the DevOps team to rethink routine, embrace new best practices, and drive the adoption of technology standards.
• Build automation capabilities to monitor and alert infrastructure for AWS maintenance.
• Evolve, build and continuously test new cloud infrastructure capabilities for secure designs and functions.
• Build processes and automation capabilities for application code security reviews, workflows, and testing in collaboration with developers.
• Assist the SOC in building detection and alert capabilities.
• Develop workflows for SaaS security programs.
• Assist the Risk and Governance teams with policies, procedures, and standards.
• Collaborate with cross-functional teams, including DevOps and Security Engineering, to deliver security projects.

Qualifications

• Experience in Cloud Environment, AWS preferred, for 5-10 years to establish security cloud infrastructure
• AWS Certified Solutions Architect or similar certifications are preferred
• Commitment to staying at the forefront of cloud security trends, emerging threats, and evolving technologies
• Experience with Infrastructure as Code or systems engineering and scripting
• Strong verbal and written communication skills
• Fluent in Portuguese and English
• Able to influence stakeholders
• Able to drive tasks to completion

Employees in this role will work fully remote. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

Benefits

iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).

For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

iCapital is looking to hire a Vice President to join a Hedge and Private Equity Fund Finance team. This role is hands on with operational responsibility for servicing hedge and private equity fund of fund and access fund vehicles (the “funds”) in conjunction with third-party administrators. This position will manage all fund accounting and financial reporting to investors, including subscriptions and redemptions for hedge funds, capital activity in private equity funds, partner capital statements and annual audited financials.

Responsibilities:

• Work with third party fund administrators on coordination, preparation, review and publication of Fund NAVs, Partner Capital Account Statements, Performance reporting, Capital Calls, Distributions and Hedge Fund Subscription and Redemption processes.
• Review, edit and sign off on capital calls/distributions, monthly/quarterly NAV packages, accrual/fee calculations
• Research and resolve fund accounting, financial, and other issues that may arise
• Liaise with business partners including investor relations and client service groups and provide performance reports and answer questions as they arise
• Manage cash across portfolios; prepare cash forecasting and budgeting reports
• The individual will ensure financial reporting and year end queries for feeder funds on the platform are done in a timely, accurate and efficient manner

Qualifications:

• 6+ years of fund accounting with a focus on Alternative investments (Private Equity or Hedge Funds). Experience with a big 4 audit firm, auditing Private Equity and Hedge Fund vehicles is a plus.
• CPA or Chartered Accountant equivalent certification is a requirement.
• Strong quantitative and analytical skills
• Ability to handle multiple tasks effectively and work within tight deadlines
• Strong team player and detail-oriented
• Strong interpersonal, communication (written and spoken) and organizational skills
• Experience with Investran is a plus
• Working knowledge of Excel
• Confident with strong leadership skills
• Creative thinker
• Self-starter, possessing willingness to learn

Required Education:

Bachelor's/University degree preferably in Accounting or equivalent field.

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office three days, with the flexibility to work remotely two days. Every department has different needs, and some positions will be designated in-office jobs, based on their function.

Benefits:
iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).

For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog is committed to open source. It starts with our Agent, tracers, libraries, and SDKs all being open source. But it goes so much further. From open standards to open collaboration, it’s a core part of who we are and what we do. As part of the Open Source Program Office (OSPO), you will be focusing on building tools, documentation, policies, etc. that improve how our engineers interact with Open Source projects (our own and third-party projects), as well as representing Datadog in Open Source communities. 

What You’ll Do: 

• Build and maintain tools that ease building and releasing Open Source software at Datadog
• Build and maintain tools that ease ingesting Open Source software at Datadog
• Create developer facing documentation and training materials around contributing to open source and maintaining open source projects
• Interface with open source communities to understand problems and trends in the market
• Create tools to automatically analyze and report on Open Source repositories trends and statistics
• Interface with Datadog Open Source Partners candidates and recipients to select new projects for the program and ensure that the program stays useful
• Research and write content for the Datadog Open Source Hub
• Contribute to the product through feedback (bugs or product enhancements suggestions), documentation, or code

Who You Are: 

• Approximately 3+ years of experience as a software developer, SRE, or other practitioner.
• You are fluent in reading and writing one or more languages, e.g. Python, JavaScript, Java, Go, C#, Rust, and so on.
• You love building tools that make other engineers more productive.
• You have empathy, collaboration, and communication skills to cultivate strong relationships across various teams in the organization.
• Bonus: You are (or have been) an active member of an open source community.
• Bonus: You are familiar with different Open Source licenses and Contributor License Agreements 

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.  

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

 Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

At Datadog, we’re on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI agent that leverages LLMs to help analysts investigate alerts, understand threats, and respond faster. We’re looking for a product-minded AI Engineer to help us build the next generation of AI-driven security capabilities.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with users, security experts, PMs, and data scientists on cutting edge AI agents that drive real value for our customers
• Develop tools, retrieval and planning strategies, and guardrails; manage prompts/evals; design fallbacks and human‑in‑the‑loop paths
• Collaborate with Product, Design, and partner teams to build cohesive experiences
• Prototype and see what works well, iterate closely with our users and experts, and then ship
• Follow the latest research on GenAI and AI agents

Who You Are:

• You have a BS/MS/PhD in Computer Science, Engineering, Artificial Intelligence or a related scientific field or equivalent experience
• You’re a backend engineer with at least 4 years of professional experience (Go, Python, Java, etc.) who values code simplicity and performance
• You have relevant work experience with LLMs, large-scale systems, machine learning, or adjacent fields. You’ve shipped software that uses LLMs to production
• You want to work in a fast, high-growth startup environment that values its engineers
• You are a good communicator and can drive hard technical conversations towards a pragmatic solution
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts
• Fluency with offline/online evals for AI systems; can build reliable golden sets and automatic regressions
• Experience scaling products in a high-growth SaaS environment
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Work closely with our users, designers, PMs, and data scientists on cutting edge and delightful LLM-based agents.
• Work on prompts, evals, and agent tools for working with code, and on the engineering to productionize these systems and integrate them with Datadog products.
• Prototype and see what works well in the real world, iterate closely with our users, and then ship.
• Follow the latest research on LLM prompting, agents, and code editing.
• Work with other Datadog teams to expand capabilities, for example integrating with the Datadog IDE extensions to deliver a CoPilot-like assistant, or Dynamic Instrumentation to collect more runtime data from production and pre-production environments.

Who You Are:

• You’re a backend engineer with at least 5 years of professional experience (Go, Java, Python) who values code simplicity and performance. You’ve shipped software that uses LLMs to production.
• You are passionate about Generative AI and its ability to help software engineers be more productive.
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
• You want to work in a fast, high-growth startup environment that respects its engineers and customers.
• You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Your wellbeing, our mission. Join a company shaping a healthier world.

GET TO KNOW US

At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in 11 countries, we’re on a mission to make every company a wellness company.

We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. 

Join us in redefining the future of wellbeing!

THE OPPORTUNITY

We are hiring a Director of Security Engineering for our Information Security team in Portugal! This is a Remote – Portugal position, meaning you can work from anywhere within the country. Please note that this role is only open to candidates in Brazil. 

The Information Security team is responsible for protecting our subscription-based product serving millions of users. As a Director of Security Engineering, you will be the technical leader driving application security, DevSecOps practices, and security engineering across our 10 product verticals. This is a unique opportunity to build security capabilities in a high-growth environment. You will help construct the technical security strategy, architect security solutions, lead threat modeling, and establish secure development practices across all engineering teams. The role requires deep technical expertise in application security, cloud security, and modern DevSecOps practices.In this capacity, you will serve as the primary architect for our security engineering roadmap, ensuring that protection is integrated at every stage. You will oversee the deployment of automated security tooling, mentor senior engineers in advanced vulnerability research, and partner with product leaders to balance rapid feature delivery with robust risk mitigation. Your leadership will be pivotal in scaling our security posture to meet the demands of a global, multi-vertical ecosystem while fostering a culture of shared security responsibility.

YOUR IMPACT 

• Lead the technical security strategy for product and application security, defining architecture standards, security baselines, and secure coding guidelines aligned with OWASP ASVS, NIST SSDF, and BSIMM frameworks.
• Architect and implement a comprehensive DevSecOps pipeline, integrating SAST, DAST, SCA, and container scanning across all CI/CD pipelines serving 10 product verticals.
• Drive threat modeling practices across critical product flows, partnering with engineering leads to identify and mitigate security risks before they reach production.
• Design and implement a centralized security telemetry architecture, connecting application logs, WAF events, and fraud signals into a unified SIEM platform for real-time detection.
• Lead the technical evaluation, selection, and implementation of security tools (SAST/DAST, SIEM/SOAR, PAM, API Gateway security, container security scanners).
• Establish and mentor a team of 7-8 embedded DevSecOps engineers across product verticals, providing technical guidance and ensuring consistent security standards.
• Own the technical roadmap for reducing MTTD from >48h to <1h and fraud detection from D+1 to real-time through security engineering and automation.
• Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.

WHO YOU ARE 

• A seasoned security engineer with experience in application security, cloud security, or security engineering, with at least 4 years in a senior technical leadership role.
• Deep expertise in secure software development lifecycle (SSDLC), threat modeling (STRIDE, PASTA), and security architecture for distributed systems and microservices.
• Hands-on experience with security tooling: SAST (Checkmarx, Snyk, SonarQube), DAST (Burp Suite, OWASP ZAP), SCA, container scanning (Trivy, Prisma), and SIEM platforms (Elastic, Splunk, Sentinel).
• Extensive knowledge of cloud security (AWS and/or GCP), including IAM, VPC security, secrets management, and container orchestration security (Kubernetes/EKS).
• Experience building and scaling DevSecOps programs, integrating security into CI/CD pipelines, and mentoring engineering teams on secure coding practices.
• Proficiency in at least two programming languages (Python, Go, Java, or JavaScript) with the ability to review code, write security tooling, and automate security workflows.
• Familiarity with compliance frameworks (ISO 27001, PCI DSS, LGPD/GDPR) and how they translate into technical security controls.
• Effective communication skills (Portuguese and English) to translate complex technical security concepts into actionable guidance for engineering teams at all levels.
• We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%.
• For this specific role, please note that prior experience in application security engineering and DevSecOps pipeline implementation is a mandatory requirement.

WHAT WE OFFER YOU

With thoughtful benefits, emotional wellbeing resources, and a culture that empowers you to take ownership of your role and your wellbeing, we create an environment where you can thrive in all dimensions of your life. Our benefits include:

WELLHUB:  Free Gold membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! Add up to three family members to your plan, ensuring access to wellness for those who matter most to you. 

HEALTHCARE: Health insurance.

FLEXIBLE WORK: As a Flexible First company, we offer hybrid and remote options to give you the freedom to work in a way that suits you. The model for this specific role can be discussed with your recruiter and hiring manager. We offer all employees a one-time reimbursement to set up their home office equipment and a monthly work allowance to help cover the costs of working from home.

FLEXIBLE SCHEDULE:  Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. Together with their leaders, employees define schedules that align with their time zones, team needs, and personal routines.

PAID TIME OFF: We know how important it is to take time away from work to recharge. Employees receive a minimum of 25 days paid holiday per year with an additional day for each year of tenure (up to 5) in addition to annual holidays (including an extra holiday on your birthday!).

PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life. Take the time to be present and enjoy your growing family. We offer 100% paid parental leave to all new parents. Parents giving birth are eligible for an extended leave and a ramp-back period to return part-time while they get settled.  

CAREER GROWTH: Access world-class platforms, participate in interactive sessions,  build your personalized development roadmap, and explore internal opportunities. We focus on continuous learning and feedback to support your journey toward personal and professional success. 

CULTURE: You’ll join a team of passionate people who come together to break boundaries, support each other, and create a meaningful impact in workplace wellness. We win together, building trust through open communication and a culture where every perspective matters. Learn more about our shared culture and values here. 

And to get a glimpse of life at Wellhub… Follow us on Instagram @lifeatwellhub and LinkedIn!

Diversity, Equity, and Belonging at Wellhub

We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong. At Wellhub, we welcome and celebrate your authentic self.

Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Our commitment to inclusion also extends to how we recognize and reward our people. We’re proud to be Syndio Fair Pay Certified, reflecting our ongoing dedication to equitable and fair pay practices across our global team. Read more about it here.

Questions on how we treat your personal data? See our Aviso de Privacidade para Candidatos. 

#LI-REMOTE

#LI-CM1

About the Role

We’re hiring an AI Solutions Architect to lead the future of IT systems and automation at Fortis. This senior-level role focuses on improving how our internal tech works — using AI, automation, and innovative design to make everything more secure, scalable, and efficient.

You’ll lead the design of our IT tools and platforms, ensuring they’re modern, user-friendly, and powered by cutting-edge AI like LLMs (think ChatGPT, Gemini, and similar tools). This role reports to the Director of IT. It works closely with Security, Legal, Engineering, and other departments to ensure our IT systems are robust, safe, compliant, and built to scale.

This isn’t just an execution or admin role — it’s a leadership position for someone who can research, propose, and help drive future-focused IT strategies across the business.

What You'll Achieve

• Define and implement scalable, secure, AI-driven IT architectures aligned with business needs.
• Research, propose, and implement AI/LLM-based automation for IT processes, support systems, and knowledge management.
• Lead AI initiatives and strategy sessions, chairing technology trend discussions and quarterly IT innovation reviews.
• Architect and deploy cloud-native, automation-first IT systems — focused on resilience, performance, and zero-touch management.
• Implement AI-powered IT service desk solutions, compliance monitoring, incident response, and proactive issue resolution.
• Guide IT Operations in optimizing hardware lifecycle, SaaS platforms, and IT asset tracking through AI/automation-driven efficiency.
• Collaborate closely with Security and Legal teams to align AI and IT architecture with compliance, risk management, and privacy standards.
• Drive tool rationalization and consolidation projects using AI analytics to inform more intelligent decision-making.
• Partner with engineering, AI/ML teams, and vendors to integrate IT systems into our broader AI development ecosystem.

What You’ll Need to Be Successful

• Solid experience in IT engineering, IT architecture and cloud-native systems — with a recent, strong focus on AI, automation, and LLMs.
• Experience with AI technologies like large language models (LLMs), MLOps tools, and generative AI platforms (e.g., ChatGPT/OpenAI, Gemini AI, Notion AI). You’ve used these tools to help build or improve systems, not just test them.
• Practical experience building, integrating, or experimenting with AI models, LLMs, and AI-driven workflows.
• Working knowledge of enterprise IT environments, including Google Workspace, Okta, JAMF, Intune, Zoom, Slack, and Cisco Meraki, plus an understanding of cloud infrastructure (AWS, GCP, or Azure).
• Exceptional skills in technical documentation, architecture diagramming, and project planning and execution, plus an understanding of  GDPR, NIST, and SOC 2.
• Ability to explain complex technology and AI clearly and simply to all audiences. Skilled at leading conversations that shape the right technology direction, drive innovation, and bring new ideas to life. 
• Confident in leading executive meetings, managing AI committees, and guiding leadership teams toward smart, forward-thinking technology decisions.
• Game/software development experience strongly preferred where LLMs or automation were part of the tech stack, showcasing creativity, speed, and next-gen thinking.

The Role

We are hiring a Product Manager - Regulatory Reporting to work within our Enabling Services group, which is responsible for the shared application capabilities that serve multiple products across ComplyAdvantage's platform.

Enabling Services are application functions that are not standalone products but are essential to how those products work: case management, regulatory reporting and transaction processing services. These capabilities are used across multiple product areas and have a direct impact on the end-user experience. The work sits at the intersection of multiple product teams, which makes it both commercially important and organisationally complex.

The Enabling Services group sits within the Platform & Enabling Services tribe. You will work within a dedicated squad alongside an engineering manager and a team of engineers. The Product Manager and Engineering Manager work as peers: you own the product context, the EM owns the technical context. You operate within a framework set by the Product Director, who provides the strategic guidance and prioritisation decisions that shape your work.

We work in six-week blocks with a structured document flow from Plan of Record to PRD to product requirements to implementation, with quality gates at each stage. If you are looking for a role where the planning process is clear and the expectations are explicit, this is a good environment to develop in.

What You Will Do

Provide research, analysis and requirements within your squad's domain. You are responsible for requirements specification, stakeholder communication and documentation within a framework set by the Product Director. Your work ensures the squad has clear direction on what to build and for whom.

Write clear product requirements. Working from PRDs, you will draft product requirements and refine them jointly with your EM. You sign off on product accuracy; the EM signs off on technical completeness. You need enough understanding of application architecture and service design to write requirements that engineers can build from and to have useful conversations about feasibility.

Manage competing inputs from multiple product teams. Enabling Services capabilities serve multiple product areas, each with their own priorities. You will handle incoming requirements at the working level, assessing them, clarifying ambiguities with the requesting teams, and flagging conflicts to the Product Director for resolution. Understanding why different teams want different things, and being able to articulate the trade-offs clearly, is an important part of this role.

Understand the end-user impact. Unlike pure platform work, Enabling Services directly affects what customers see and use. Case management workflows, reporting interfaces, transaction processing: these are visible to compliance teams. You need to think about user outcomes, not just technical requirements.

Liaise with engineering during execution. Ensure your EM has enough lead time and context to make sound technical decisions. Surface changes and risks early. Maintain communication about what is coming, what is blocked and what has changed.

Use AI in your own work. We expect Product Managers to use AI-assisted workflows for research synthesis, requirements drafting and documentation. This is how we work, not something we aspire to.

What We Are Looking For

Essential:

• 3+ years in product management, with exposure to shared services, horizontal capabilities, or application products used by multiple teams or customer segments
• Enough understanding of application architecture, APIs, data schemas and service design to write requirements that engineering can work from and to engage in technical conversations productively.
• Have a platform mindset to develop core components once to scale for new use cases and volume, and avoid spending resources to build replicating capabilities
• Ability to research, design, and build within strict constraints and requirements set by regulatory organisations
• Strong analytical skills: comfortable with data, can synthesise requirements from multiple sources
• Comfortable working within a structured product organisation where strategic direction is set above you. You are not expected to set a strategy; you are expected to execute well within a clear framework.
• Excellent written communication skills, with an obsession with precision and detail: produces clear, accurate requirements and documentation
• Presentation skills: the ability to communicate your product area, its challenges and capabilities to both technical and non-technical audiences
• Familiarity with common product management tools such as Jira, Linear, Confluence, Notion, Miro or equivalent
• Demonstrable AI adoption in your own working practice

Preferred:

• Experience with building automated complex workflows, particularly integrating AI at the core.
• Experience with case management, workflow, regulatory reporting, or search products
• Experience in financial services, compliance, or RegTech
• Experience working on products that serve multiple internal or external customer segments simultaneously
• Interest in developing toward a senior product management career in platform and application services

What Success Looks Like

At 60 days: You understand your squad's domain, the Enabling Services group's priorities, how requirements flow from multiple product areas, and how the operating model works. You have built relationships with your EM, the Product Director, and key stakeholders. You can articulate the priorities in your area and begin to contribute to requirements.

At 4 months: You are writing clear product requirements that pass quality gates. Your EM trusts your product judgment at the working level. You are handling incoming requirements from multiple product teams effectively, flagging conflicts to the PD with a clear description of the trade-offs. Stakeholders experience you as responsive and reliable.

At 8 months: You are a reliable and effective member of the Enabling Services group, producing consistent quality in requirements, documentation, and stakeholder communication. Your squad values your contribution. You have a clear understanding of the broader Platform & Enabling Services strategy and are operating at a level that demonstrates readiness for greater autonomy and scope.

What’s in it for you?

• Equity as we want you to have a part of what we are building. 
• Unlimited Time Off Policy. A work-life balance and focus on our well-being are critical to keeping us performing at our best. 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships.
• ​​Comprehensive Medical Insurance. Your health is our priority; we’ve got you covered.
• You will also get a new starter budget to kit out your home office. 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve. 
• Annual learning budget (prorated based on start date) to drive your performance and career development. 
• We provide everyone with the latest modern laptops and tech stacks to ensure you’re never slowed down by your tools.

What Is The Role : 

Developers and community matter. Our users and contributors have helped ensure that the Elastic Stack (including Elasticsearch, Kibana, Beats, and Logstash) is more than just code — they are open source projects that people love to use.

We’re looking for someone who can connect with our global audience through creative, educational, and visually engaging content. You don’t need to be a Senior Engineer — but you should have a strong technical foundation, curiosity to learn, and the skills to tell compelling stories about technology.

Your work will combine writing, visuals, and video — with no waiting on others to get it done. From drafting a Twitter thread in the morning to publishing an infographic and editing a short video in the afternoon, you’ll take ideas from concept to launch, end to end.

What You Will Be Doing:

• Create engaging technical content for social media, blogs, and YouTube, covering Search, AI, and Elasticsearch in ways that are approachable and inspiring. Topics range from foundational and evergreen topics to today's LLM release.
• Write short-form content (Twitter threads, LinkedIn posts) that distills complex concepts into clear, shareable insights.
• Produce simple, high-quality videos and infographics yourself — from scripting and recording to editing and publishing.
• Explore new trends in Search, AI, and developer tools, and translate them into content our audience cares about.
• Build demos and examples to support your content or share the highlights of the latest research papers.
• Add a creative spark to Elastic’s content to keep our community engaged and draw in new audiences.

What You Bring : 

• Solid technical background and experience in an engineering role.
• Demonstrated ability to create a variety of content formats: blog posts, social media threads, videos, infographics.
• Comfortable working independently and seeing projects through from idea to publication without waiting on others.
• Curiosity and adaptability to quickly pick up new tools and topics.
• A collaborative mindset and willingness to share ideas, in a fully distributed team.
• Strong written and spoken communication skills in English.

The Role

We are hiring a Senior Product Manager to work within our Enabling Services group, which is responsible for the shared application capabilities that serve multiple products across ComplyAdvantage's platform.

Enabling Services are application functions that are not standalone products but are essential to how those products work: case management, regulatory reporting and transaction processing services. These capabilities are used across multiple product areas and have a direct impact on the end-user experience. The work sits at the intersection of multiple product teams, which makes it both commercially important and organisationally complex.

The Enabling Services group sits within the Platform & Enabling Services tribe. You will work within a dedicated squad alongside an engineering manager and a team of engineers. The Product Manager and Engineering Manager work as peers: you own the product context, the EM owns the technical context. You operate within a framework set by the Product Director, who provides the strategic guidance and prioritisation decisions that shape your work.

We work in six-week blocks with a structured document flow from Plan of Record to PRD to product requirements to implementation, with quality gates at each stage. If you are looking for a role where the planning process is clear and the expectations are explicit, this is a good environment to develop in.

What You Will Do

Provide research, analysis and requirements within your squad's domain. You are responsible for requirements specification, stakeholder communication and documentation within a framework set by the Product Director. Your work ensures the squad has clear direction on what to build and for whom.

Write clear product requirements. Working from PRDs, you will draft product requirements and refine them jointly with your EM. You sign off on product accuracy; the EM signs off on technical completeness. You need enough understanding of application architecture and service design to write requirements that engineers can build from and to have useful conversations about feasibility.

Manage competing inputs from multiple product teams. Enabling Services capabilities serve multiple product areas, each with their own priorities. You will handle incoming requirements at the working level, assessing them, clarifying ambiguities with the requesting teams, and flagging conflicts to the Product Director for resolution. Understanding why different teams want different things, and being able to articulate the trade-offs clearly, is an important part of this role.

Understand the end-user impact. Unlike pure platform work, Enabling Services directly affects what customers see and use. Case management workflows, reporting interfaces, transaction processing: these are visible to compliance teams. You need to think about user outcomes, not just technical requirements.

Liaise with engineering during execution. Ensure your EM has enough lead time and context to make sound technical decisions. Surface changes and risks early. Maintain communication about what is coming, what is blocked and what has changed.

Use AI in your own work. We expect Product Managers to use AI-assisted workflows for research synthesis, requirements drafting and documentation. This is how we work, not something we aspire to.

What We Are Looking For

Essential:

• 6+ years in product management, with exposure to shared services, horizontal capabilities, or application products used by multiple teams or customer segments
• Enough understanding of application architecture, APIs and service design to write requirements that engineering can work from and to engage in technical conversations productively
• Strong analytical skills: comfortable with data, can synthesise requirements from multiple sources
• Comfortable working within a structured product organisation where strategic direction is set above you. You are not expected to set strategy; you are expected to execute well within a clear framework
• Excellent written communication skills, with an obsession with precision and detail: produces clear, accurate requirements and documentation
• Presentation skills: the ability to communicate your product area, its challenges and capabilities to both technical and non-technical audiences
• Familiarity with common product management tools such as Jira, Linear, Confluence, Notion, Miro or equivalent
• Prioritisation and decision-making: ability to effectively prioritise and make trade-offs across multiple competing initiatives, balancing business impact, technical constraints, and stakeholder needs.
• Demonstrable AI adoption in your own working practice

Preferred:

• Experience with case management, workflow, regulatory reporting or search products
• Experience in financial services, compliance or RegTech
• Experience working on products that serve multiple internal or external customer segments simultaneously
• Interest in developing toward a senior product management career in platform and application services

What Success Looks Like

At 60 days: You understand your squad's domain, the Enabling Services group's priorities, how requirements flow from multiple product areas, and how the operating model works. You have built relationships with your EM, the Product Director and key stakeholders. You can articulate the priorities in your area and are beginning to contribute to requirements.

At 4 months: You are writing clear product requirements that pass quality gates. Your EM trusts your product judgement at the working level. You are handling incoming requirements from multiple product teams effectively, flagging conflicts to the PD with a clear description of the trade-offs. Stakeholders experience you as responsive and reliable.

At 8 months: You are a reliable and effective member of the Enabling Services group, producing consistent quality in requirements, documentation and stakeholder communication. Your squad values your contribution. You have a clear understanding of the broader Platform & Enabling Services strategy and are operating at a level that demonstrates readiness for greater autonomy and scope.

What’s in it for you?

• Equity as we want you to have a part of what we are building. 
• Unlimited Time Off Policy. A work-life balance and focus on our well-being are critical to keeping us performing at our best. 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships.
• ​​Comprehensive Medical Insurance. Your health is our priority; we’ve got you covered.
• You will also get a new starter budget to kit out your home office. 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve. 
• Annual learning budget (prorated based on start date) to drive your performance and career development. 
• We provide everyone with the latest modern laptops and tech stacks to ensure you’re never slowed down by your tools.

We're a leading SaaS provider revolutionising how fintech companies navigate complex regulatory landscapes. Our platform powers compliance and risk management for hundreds of innovative financial services companies, from emerging startups to established enterprises. We believe in empowering our teams to solve meaningful problems and create exceptional value for our customers.

Role Summary

As a Senior Data Scientist at ComplyAdvantage, you will lead the development and refinement of sophisticated data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, where you will spend 80% of your time conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value over 3-6 month horizons. In addition to driving deep-dive R&D, you will provide expert advisory support and technical leadership to Product and Engineering teams. By leading AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features while mentoring more junior members of the tribe.

Key Responsibilities

• Lead R&D in GenAI and Agentic AI: Design and prototype high-impact, novel solutions for financial crime detection, focusing on multi-agent systems and RAG architectures built on foundational LLM frameworks.
• Drive Production Excellence: Partner with Engineering and Product leadership to architect and oversee the integration of AI components into core product features. You will define the standards for reliability, scalability, and ethical AI performance, ensuring research prototypes transition into robust, production-grade solutions.
• Establish Evaluation Frameworks: Lead the development of robust evaluation methodologies for LLM and agentic AI systems, defining industry-standard metrics for task completion, reasoning accuracy, and system reliability.
• Evaluate Model Context Protocol (MCP): Research applications to connect our AI systems with external data sources and tools, providing strategic recommendations for engineering implementation.
• Strategic Data Insights: Conduct advanced exploratory analysis across multiple data sources to uncover insights that directly influence product development decisions and agent behavior.
• Research & Innovation: Continuously research and evaluate emerging tools and best practices in data science and Agentic AI to keep ComplyAdvantage at the forefront of the field.
• Technical Leadership & Mentoring: Engage across multi-disciplinary teams to share expertise, perform code reviews, and provide career development support to junior data scientists.

Required Qualifications

• MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
• 4-7 years of professional experience in data science or machine learning, with a demonstrable impact on production systems.
• Expert-level proficiency in Python, including the core data science ecosystem such as Pandas, NumPy, and Scikit-learn.
• Deep experience with modern ML frameworks (e.g., TensorFlow, PyTorch) for advanced research and prototyping.
• Strong expertise in Agentic AI and LLMs: Advanced knowledge of agentic AI frameworks (e.g., LangChain, Pydantic AI) and experience optimising retrieval systems like RAG.
• Experience with Distributed Computing: Practical knowledge of platforms like Spark or Dask for large-scale data analysis.
• Technical Leadership: Proven track record of leading technical research projects with successful production outcomes and communicating complex concepts to diverse audiences.

Preferred Qualifications

• Experience delivering machine learning solutions and integrating into data pipelines.
• Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
• Experience working with or evaluating multi-agent systems or complex GenAI workflows.

What Success Looks Like

• In 90 days: You have successfully onboarded, mastered our data landscape, and begun contributing to active research projects while building relationships with key stakeholders.
• In 6 months: You have delivered your first significant research project with measurable impact and established yourself as a technical leader and effective mentor.
• In 12 months: You have led multiple successful R&D initiatives that have shaped our technical roadmap and been recognized as a subject matter expert who empowers other teams.

About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

We are looking for a Senior Product Designer to join the R&D Organization, creating complex enterprise B2B software

This role requires someone who thrives in a fast-paced, startup-like environment where you'll build, test, learn, and iterate rapidly. You'll own the full UX process, from discovery research through execution, working with high autonomy and accountability alongside a product manager, an engineer manager, and the engineering team.

The UX team consists of product designers and technical writers who are committed to helping our users create compelling product experiences. We use Figma to create designs using our design system, Habanero. We employ tools like Dovetail, Mixpanel, Intercom, LogRocket, and Redash, alongside customer interviews and workshops, to deeply understand our users and validate our work. We actively embrace AI in our design process, using Figma Make, Lovable, and AI-powered research to optimize and maximize our impact.

The Growth group at Salsify is focused on creating new products, exploring emerging opportunities, integrating AI capabilities, and capabilities that drive customer satisfaction and business expansion. You'll be part of a collaborative UX team while having direct ownership of your product area's experience. The role reports to the UX Manager of Growth in our R&D organization.

How You'll Make an Impact

You thrive on working with current and potential users

• You're energized by the opportunity to connect directly with customers
• You seek out user conversations and use them to drive your design decisions
• You're genuinely curious about understanding how people work and what they need

You move fast and embrace innovation

• You thrive in build-test-iterate-refine cycles and know how to balance speed with quality
• You have a startup mindset - scrappy, resourceful, outcomes-focused
• You're curious and proactive about solving problems, including exploring how AI can enhance your design work

You're a strategic UX thinker

• Research is your foundation - you know how to gather insights, conduct user interviews, and synthesize findings into actionable direction
• You use data and research to justify design decisions and measure success
• You understand how to balance user needs with business objectives
• You can identify the "why" behind problems before jumping to solutions

You're a facilitator and communicator

• You can conduct user interviews and research sessions confidently in English
• You present findings and recommendations clearly to leadership and your team

You're organized and execution-focusedYou enjoy collaboration and teamwork

• You build strong relationships with Product Management and Engineering counterparts
• You know when to lead, when to collaborate, and when to support
• You feel a sense of ownership over the product outcomes, not just the designs

You're energized by a culture of mentorship, feedback, and continuous learning

You’ll enjoy this role if you have:

• 5+ years of Product Design /UX Design experience in B2B or Enterprise SaaS
• Experience designing products with features powered by generative AI/LLMs for B2B users - portfolio must demonstrate work in this area (e.g., AI assistants, copilots, conversational interfaces, content generation)
• Strong UX/research foundation - portfolio shows research-driven design process, not just final designs
• Communication skills and  English fluency - comfortable conducting research, facilitating, and presenting in English
• Portfolio required - showing your research process, strategic thinking, and measurable outcomes

Bonus Points

• Experience with Lean UX methodologies
• Experience with B2B catalog, e-commerce, workflows, automation, or data management products
• Background in startups or fast-growth environments
• Experience elevating products from functional to exceptional

About Salsify UX Design

We deeply value our Product Design culture. We believe it's okay to be wrong before you get to the right solution, and we make the space to test, learn, and iterate. We're all about great outcomes – for our users, our team, and for Salsify – and we believe data, empathy, great design, and having fun are the best ways to get there. Every member of our team has the freedom and responsibility to make Salsify a great place to work. From talking with our users, workshopping with our peers, and designing elegant, human-centered Enterprise software, we empower our Product Designers to innovate while turning complex business processes into intuitive and delightful product solutions.

#LI-MP1 #LI-remote

Role Summary

As the Product Manager for Frontend and Design Platform, you sit at the intersection of UX excellence and systems engineering. You don’t just care that a button looks good; you care that the button is a robust, accessible, and reusable component that enables 50+ developers across 10+ different internal apps to build consistent experiences at speed.

In this role, you will own the ComplyAdvantage Frontend and Design (Platform). You’ll be responsible for the "Lego bricks" of our platform, ensuring that whether a developer is building a high-stakes investigation dashboard or a simple settings page, the UI is intuitive, invisible, and efficient. Your work directly empowers our product squads to ship high-quality features faster, while ensuring our users - financial crime analysts - can do their jobs with total trust and zero friction.

Key Responsibilities

• Own the Frontend Platform Roadmap: Define the strategy for our UI component library and frontend patterns, transitioning from "building pages" to "building systems."
• Champion Efficiency & Trust: In the world of B2B compliance, "delight" means speed and accuracy. You will optimize our frontend infrastructure for analyst efficiency rather than flashy B2C animations.
• Drive Deep User Discovery: Regularly sit with internal and external users (analysts and compliance officers) to observe workflows and identify where UI friction hinders financial crime detection.
• Scale Developer Velocity: Define and monitor metrics for component adoption and developer experience (DevEx), ensuring our frontend platform reduces "time-to-market" for feature teams.
• Bridge Design and Engineering: Lead your squad in translating Figma prototypes into production-ready, accessible, and themeable React components (or equivalent).
• Systemic Prioritization: Balance the immediate needs of "Flagship" product squads with the long-term health and coherence of the global design system.
• Responsible for coordinating the design pipeline with Product PRD requirements and processes, ensuring design work is aligned with PRD needs.
• Drive the evolution of the overall UI and UX to meet the changing needs of our Clients in the advent of AI co-pilots and agents. 

Required Qualifications

• 4+ years of Product Management experience, with at least 1–2 years focused on Design Systems, Frontend Platforms, or Internal Developer Tools.
• B2B Experience is Essential: A proven track record of building complex, data-heavy interfaces where utility and trust are the primary goals.
• Systems Thinking: Demonstrated experience with Atomic Design principles and managing shared component libraries.
• Discovery Mastery: Expert in using tools like Pendo, Hotjar, or Figma to conduct research and validate frontend hypotheses.
• Technical Fluency: Ability to discuss APIs, CSS architecture, and frontend performance trade-offs with senior engineers.
• Bachelor’s degree in a relevant field (e.g., Computer Science, HCI, or Design).

About You

• The "Lego" Builder: You think in components, not templates. You get excited about the scalability of a "Text Input" that will be used for the next five years.
• The Empathetic Observer: You enjoy the "detective work" of watching a user struggle with a workflow and finding the systemic UI fix that solves it for everyone.
• B2B over B2C: You understand that our users are professionals doing a high-stakes job. You prefer "invisible" UI that helps them find criminals over "viral" UI features.
• The Bridge: You can speak the language of a UI Designer on Monday and a Frontend Engineer on Tuesday, acting as the glue between aesthetic vision and technical reality.
• Outcome-Driven: You value adoption rates and "time-to-ship" metrics just as much as pixel-perfect execution.

What Success Looks Like

• In 90 days: You’ve audited our existing component library, established a feedback loop with the Design and Engineering chapters, and identified the top three friction points in our current frontend workflow.
• In 6 months: You have delivered a core set of standardized components adopted by at least three major product squads, significantly reducing their frontend development time.
• In 12 months: The ComplyAdvantage Design System is the "source of truth" for all UI. You’ve established a clear contribution model where other teams can add to the system, and you are recognized as the guardian of our platform’s visual and functional consistency.

What’s in it for you?

• Equity as we want you to have a part of what we are building. 
• Unlimited Time Off Policy. A work-life balance and focus on our well-being are critical to keeping us performing at our best. 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships.
• ​​Comprehensive Medical Insurance. Your health is our priority; we’ve got you covered.
• You will also get a new starter budget to kit out your home office. 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve. 
• Annual learning budget (prorated based on start date) to drive your performance and career development. 
• We provide everyone with the latest modern laptops and tech stacks to ensure you’re never slowed down by your tools.

Role Summary

As a Data Scientist at ComplyAdvantage, you will develop and refine data-driven solutions to detect and prevent financial crime globally. Your core focus is R&D and Strategic Initiatives, conducting forward-looking research in ML, NLP, and Agentic AI to create measurable business value. In addition to deep-dive R&D, you will provide advisory support to Product and Engineering teams. By investing in AI Enablement workstreams, you will empower these departments with the quantitative insights and frameworks necessary to scale high-impact, AI-driven features.

Key Responsibilities

• Advance R&D in GenAI and Agentic AI: Develop high-impact prototypes for financial crime detection, leveraging multi-agent systems and RAG architectures built on foundational LLM frameworks.
• Contribute to Core Solutions: Collaborate with Engineering and Product to integrate and optimise AI components and frameworks into existing and new product features, ensuring reliability, scalability, and ethical performance in production.
• Evaluate LLM-based Systems: Contribute to the development and implementation of robust evaluation methodologies for LLM and agentic AI based systems, tracking key metrics related to task completion, reasoning accuracy, tool effectiveness, and overall reliability.
• Evaluate Model Context Protocol (MCP) applications: Connect our AI systems with external data sources and tools and provide recommendations for engineering implementation
• Data Understanding: Develop a solid understanding of our existing data sources, identifying challenges and suggesting potential improvements.
• Data Analysis: Use exploratory data analysis and data mining techniques to identify actionable insights for product improvement, including patterns that can inform and refine agent behavior and prompt engineering strategies.
• Research & Innovation: Continuously research and evaluate emerging tools, technologies, and best practices in data science, especially within the rapidly evolving field of Agentic AI, to keep ComplyAdvantage at the forefront.
• Cross-Functional Collaboration: Engage effectively with multi-disciplinary teams to actively share best practices, expertise and inspire innovation to foster an AI-first culture across the organization.
• Visualization & Roadmapping: Provide clear data insights and visualizations that will act as a basis for new ideas to be integrated into our product roadmap.

Required Qualifications

• MSc or PhD in a numerate subject (e.g., Computer Science, Mathematics, Statistics, Physics) or equivalent practical experience in a data-intensive role.
• 2-4 years of professional experience in data science or a related field, with a demonstrated ability to contribute to impactful data-driven solutions.
• Proficiency in Python, including experience with core data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Hands-on experience with modern machine learning frameworks such as TensorFlow or PyTorch.
• Familiarity with the foundational concepts of agentic AI and large language models (LLMs). This can be professional or through personal research.
• Basic understanding of popular agentic AI frameworks (e.g., LangChain, Pydantic AI).
• Knowledge of general evaluation techniques for AI models and an eagerness to learn and apply methods specific to agentic systems.
• Ability to communicate complex technical concepts effectively to a variety of stakeholders.
• Strong passion for data and solving challenging real-world problems using algorithms.

Preferred Qualifications

• Prior experience contributing to the deployment and integration of machine learning models into production data pipelines.
• Exposure to Big Data platforms such as Spark.
• Experience with Natural Language Processing, Entity Resolution, Graph Theory, or Graph Machine Learning.
• Experience working with or evaluating multi-agent systems or complex AI workflows.

What Success Looks Like

• In 90 days: You have successfully onboarded, gaining a clear understanding of our data landscape and current AI frameworks. You are actively contributing to R&D experiments and have established collaborative working relationships with peers in Engineering and Product.
• In 6 months: You have delivered your first significant R&D prototype or technical evaluation. You have begun contributing to our AI Enablement workstreams, perhaps by authoring a technical blog post or internal guide that translates your research findings into actionable knowledge for the wider team.
• In 12 months: You have completed multiple R&D initiatives that have shaped our technical roadmap. You are recognized for empowering other teams through your advisory support and quantitative expertise, consistently providing the "AI-first" insights that help Engineering and Product teams scale high-impact features.

About Data Science at ComplyAdvantage:
The Data Science tribe discovers and proves out impactful solutions that leverage our Petabyte-scale data infrastructure to neutralise global financial crime. We are responsible for research and development work that drives the "art of the possible" within our product suite. At ComplyAdvantage, we mine the internet for critical data and use it to power a dynamic knowledge graph, which uncovers hidden networks of financial bad actors. From exploring real-time stream processing with Kafka to pioneering the use of the latest LLMs, our modern technology stack allows us to innovate and build prototypes for cutting-edge agentic AI and large-scale algorithmic solutions that empower our clients.

What’s in it for you? 

• Equity as we want you to have a part of what we are building 
• Private medical insurance designed to keep you ensuring peace of mind while you excel in your career
• Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best 
• We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
• You will also get a new starter budget to kit out your home office 
• Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve 
• Annual learning budget (prorated based on start date) to drive your performance and career development 

The role

Fraud prevention is an ever-evolving puzzle, making it one of the most rewarding and impactful areas in fintech. At GoCardless, our Fraud Prevention team develops the intelligent systems that protect our platform, our merchants, and their customers.

As a Senior Data Scientist, you will guide the design and delivery of models that operate in real time across our global payment network. You’ll work at the intersection of machine learning, graph-based detection, and behavioural modelling to stay ahead of changing patterns turning research into production systems that make a tangible difference in the fight against financial crime.

You’ll collaborate closely with Engineers, Fraud Analysts, and Product Managers to help shape the technical roadmap as we expand into new markets. Our stack is centred around Google Cloud Platform and Vertex AI, using Python, SQL, and BigQuery to build and support high-performance models at scale.

What you'll do

• Contribute to the full model lifecycle, from initial discovery and feature engineering through to production, experimentation, and continuous monitoring.
• Design and refine real-time ML systems that reduce false positives and ensure a smooth, secure experience for legitimate customers.
• Foster a responsive feedback loop, adapting models as patterns evolve to ensure our defences remain robust and effective.
• Help shape the technical direction of fraud prevention ML at GoCardless, exploring new approaches as we grow globally.
• Support the team’s growth through technical mentorship, knowledge sharing, and a commitment to high-quality code.

What excites you

• Solving complex, dynamic problems: Developing systems that can adapt and respond to changing environments.
• End-to-end ownership: Seeing a project through from a conceptual business need to a live, impactful solution.
• Strategic influence: Contributing to the ML roadmap and helping determine what we build next, rather than just how we build it.
• Holistic Data Science: Engaging in deep-dive analysis, prototyping, and live experimentation.
• Modern Infrastructure: Building production-grade models on GCP and Vertex AI, with the flexibility to explore advanced architectures.

What excites us

• You hold a degree (or PhD) in a STEM discipline, or bring equivalent depth through commercial experience.
• You have hands-on experience with modelling approaches such as deep learning, graph-based methods, or sequence models. While fintech experience is great, we value transferable skills from fields like cybersecurity or risk modelling.
• You have a track record of deploying models in production that create measurable value.
• You can translate complex ML concepts into clear, practical solutions for stakeholders across the business.
• You enjoy writing clean code and helping the team thrive through thoughtful reviews and shared learning.

The role

Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention.

As a Senior Data Scientist within our Payment Intelligence team, you’ll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You’ll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network.

At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale.

What you’ll do

• Lead the end-to-end delivery of models at scale, from initial discovery and feature engineering to production, A/B testing and continuous monitoring.
• Collaborate with product and engineering peers to turn complex data into real-time, mission-critical fraud prevention solutions.
• Raise the team’s collective bar through hands-on technical leadership and knowledge sharing.
• Proactively research and integrate latest developments in ML and payer fraud prevention to drive innovation at GoCardless.

What excites you

• Being a self-starter who thrives on taking a vague business problem and owning the journey from the first prototype to a live, measurable solution.
• An opportunity to introduce and scale advanced architectures to solve high-stakes fraud and payment challenges.
• Moving beyond execution to help define the technical roadmap for Payer Fraud Prevention, ensuring we leverage the best tools for the job.
• Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation.

What excites us

• You hold a degree (or PhD) in a STEM discipline or an equivalent commercial experience.
• You bring hands-on experience with sophisticated architectures, such as deep learning, graph-based, or sequence-based models (experience in Fintech, Fraud Prevention, or Payments is a big plus).
• You can translate complex ML concepts into practical product solutions and communicate these ideas clearly to non-technical peers.
• You are comfortable owning the full lifecycle, from deep-dive analysis and feature engineering to prototyping, validation, and live A/B testing.
• You lead by example, writing clean, high-quality code and raising the team’s technical bar through knowledge sharing and code best practices.

We’re a global team of over 400 people, working together to push the boundaries of open-source technology and multi-cloud solutions. Our vision is to help developers, builders, and creators bring their ideas to life with speed and simplicity, by providing a cloud data platform that makes open-source databases, search, streaming, and application infrastructure easily accessible to everyone. 

The Role:

We are seeking a highly analytical and business-minded Market Research Analyst to join our team. Reporting to the senior leader overseeing our product and monetization strategy, this role is critical in driving the strategic direction of our product pricing by translating complex market dynamics and customer sentiment into actionable insights. The ideal candidate will possess strong analytical skills, business acumen, and a background in technology or developer experiences.

This position involves designing and executing pricing surveys, analyzing quantitative and qualitative data, and collaborating closely with the Product Delivery Organization to ensure our pricing strategy aligns with business goals and market value.

What You'll Do:

Research and Analysis

• Design, implement, and manage detailed product & pricing studies as well as customer & targeted user surveys.
• Extract value drivers and identify what targeted users truly care about based on their profiles and use cases.
• Analyze large, complex datasets to identify trends, patterns, and insights related to pricing, packaging, and monetization strategies (e.g., Van Westendorp, Gabor-Granger, conjoint analysis). 
• Synthesize research findings into clear, compelling, and data-backed recommendations for the Product and Leadership teams.

Collaboration and Insight Delivery

• Act as the primary subject matter expert on customer and developer willingness-to-pay dynamics.
• Partner with Product Managers to test new pricing models and tiers, particularly for products targeting a technical audience or developers.
• Present findings and strategic recommendations to stakeholders, translating complex analytical results into business implications.

Market Expertise

• Conduct competitive pricing analysis, monitoring competitor moves and market trends in the tech and developer tools space.
• Maintain a deep understanding of our target customer personas, specifically how developers evaluate and purchase technical products.

What We're Looking For:

Required Skills

• Proven analytical and quantitative skills, including expertise in statistical analysis and data visualization tools
• Strong business acumen with the ability to link research findings directly to strategic and financial outcomes
• Excellent communication and presentation skills, capable of influencing senior stakeholders
• Proficiency in survey design software and statistical packages (e.g., Qualtrics, R, Python)

Education and Experience

• Relevant university degree and course transcript in Economics, Statistics, Business, or a related quantitative field
• Minimum 4 years of experience in market research, pricing strategy, or business intelligence, preferably within the technology sector
• Demonstrated experience in creating and running sophisticated pricing and customer satisfaction surveys

Preferred Background

• Prior experience in a B2B SaaS environment, particularly with products aimed at developers, engineers, or technical users
• Familiarity with the developer experience (DevEx) and the factors that drive developer adoption and monetization
• Technology enthusiast with strong interest and curiosity in the Agentic AI mechanisms and trends

Amazing! What’s next:

If you think Aiven is the place for you and that our Values align with yours, send us your resume and we’ll get in touch!

Global Benefits:

Our global benefits are designed to help you thrive and grow, personally and professionally:

• Participate in Aiven’s equity plan.
• Balance work and life with our hybrid work policy.
• Choose the equipment you need to set yourself up for success.
• Use your Professional Development Plan budget for learning opportunities.
• Receive holistic wellbeing support through our global Employee Assistance Program.
• Inquire about our Global Time Off Commitment (Parental and Sick Leave, as well as Personal Time)
• Enjoy country-specific benefits for our global cast.

How to Recognize and Avoid Employment Scams:

There has been a rise in fake job postings used by scammers to get personal information. At Aiven, all of our emails relating to recruitment come from an @aiven.io, @greenhouse.io or @eu.greenhouse.io domain and all of our interviews are conducted by video call or in person.  Our interviews will never occur via text or chat. If you’re unsure of the legitimacy of a job opportunity/offer pertaining to Aiven, please don’t hesitate to reach out to us at recruitment@aiven.io.

Equal Opportunities:

Aiven provides equal employment opportunities to all qualified employees and applicants for employment without regard to age, gender identity, national or ethnic origin, religion, sexual orientation, physical and mental ability, marital and family status or without regard to any other similar personal attributes. Aiven complies with applicable local laws governing non-discrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, training and any other terms and conditions related to employment.

At Aiven we are committed to providing reasonable accommodations for qualified individuals with disabilities or special needs in our working environment and job application procedures. We make all reasonable accommodations for persons with disabilities or who otherwise need support to thrive in the workplace. We are committed to continuously improving workplace accessibility. There is an option to request a discussion in the application process but if you have any questions before applying please write to us at recruitment@aiven.io.

#LI-Hybrid

We’re a global team of over 400 people, working together to push the boundaries of open-source technology and multi-cloud solutions. Our vision is to help developers, builders, and creators bring their ideas to life with speed and simplicity, by providing a cloud data platform that makes open-source databases, search, streaming, and application infrastructure easily accessible to everyone. 

The Role:

We are seeking a highly analytical and business-minded Market Research Analyst to join our team. Reporting to the senior leader overseeing our product and monetization strategy, this role is critical in driving the strategic direction of our product pricing by translating complex market dynamics and customer sentiment into actionable insights. The ideal candidate will possess strong analytical skills, business acumen, and a background in technology or developer experiences.

This position involves designing and executing pricing surveys, analyzing quantitative and qualitative data, and collaborating closely with the Product Delivery Organization to ensure our pricing strategy aligns with business goals and market value.

What You'll Do:

Research and Analysis

• Design, implement, and manage detailed product & pricing studies as well as customer & targeted user surveys.
• Extract value drivers and identify what targeted users truly care about based on their profiles and use cases.
• Analyze large, complex datasets to identify trends, patterns, and insights related to pricing, packaging, and monetization strategies (e.g., Van Westendorp, Gabor-Granger, conjoint analysis). 
• Synthesize research findings into clear, compelling, and data-backed recommendations for the Product and Leadership teams.

Collaboration and Insight Delivery

• Act as the primary subject matter expert on customer and developer willingness-to-pay dynamics.
• Partner with Product Managers to test new pricing models and tiers, particularly for products targeting a technical audience or developers.
• Present findings and strategic recommendations to stakeholders, translating complex analytical results into business implications.

Market Expertise

• Conduct competitive pricing analysis, monitoring competitor moves and market trends in the tech and developer tools space.
• Maintain a deep understanding of our target customer personas, specifically how developers evaluate and purchase technical products.

What We're Looking For:

Required Skills

• Proven analytical and quantitative skills, including expertise in statistical analysis and data visualization tools
• Strong business acumen with the ability to link research findings directly to strategic and financial outcomes
• Excellent communication and presentation skills, capable of influencing senior stakeholders
• Proficiency in survey design software and statistical packages (e.g., Qualtrics, R, Python)

Education and Experience

• Relevant university degree and course transcript in Economics, Statistics, Business, or a related quantitative field
• Minimum 4 years of experience in market research, pricing strategy, or business intelligence, preferably within the technology sector
• Demonstrated experience in creating and running sophisticated pricing and customer satisfaction surveys

Preferred Background

• Prior experience in a B2B SaaS environment, particularly with products aimed at developers, engineers, or technical users
• Familiarity with the developer experience (DevEx) and the factors that drive developer adoption and monetization
• Technology enthusiast with strong interest and curiosity in the Agentic AI mechanisms and trends

Amazing! What’s next:

If you think Aiven is the place for you and that our Values align with yours, send us your resume and we’ll get in touch!

Global Benefits:

Our global benefits are designed to help you thrive and grow, personally and professionally:

• Participate in Aiven’s equity plan.
• Balance work and life with our hybrid work policy.
• Choose the equipment you need to set yourself up for success.
• Use your Professional Development Plan budget for learning opportunities.
• Receive holistic wellbeing support through our global Employee Assistance Program.
• Inquire about our Global Time Off Commitment (Parental and Sick Leave, as well as Personal Time)
• Enjoy country-specific benefits for our global cast.

How to Recognize and Avoid Employment Scams:

There has been a rise in fake job postings used by scammers to get personal information. At Aiven, all of our emails relating to recruitment come from an @aiven.io, @greenhouse.io or @eu.greenhouse.io domain and all of our interviews are conducted by video call or in person.  Our interviews will never occur via text or chat. If you’re unsure of the legitimacy of a job opportunity/offer pertaining to Aiven, please don’t hesitate to reach out to us at recruitment@aiven.io.

Equal Opportunities:

Aiven provides equal employment opportunities to all qualified employees and applicants for employment without regard to age, gender identity, national or ethnic origin, religion, sexual orientation, physical and mental ability, marital and family status or without regard to any other similar personal attributes. Aiven complies with applicable local laws governing non-discrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, training and any other terms and conditions related to employment.

At Aiven we are committed to providing reasonable accommodations for qualified individuals with disabilities or special needs in our working environment and job application procedures. We make all reasonable accommodations for persons with disabilities or who otherwise need support to thrive in the workplace. We are committed to continuously improving workplace accessibility. There is an option to request a discussion in the application process but if you have any questions before applying please write to us at recruitment@aiven.io.

#LI-Hybrid