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Explore our current openings and join a fast-growing Swedish product company shaping the future of HRTech.
Database / Machine Learning Specialist
Location: Stockholm, Sweden (office/remote). Permanent location in the EU or Ukraine is required (we can only consider candidates legally based in the EU or Ukraine).
Join Söderberg & Partners Heartpace AB, a Swedish product company building reliable, high-quality software for the European market. We’re looking for a Database / Machine Learning Specialist who can turn data into product advantage — improving data architecture, performance, and building intelligent automation that scales.
This is not a “research-only” role. We need someone who can ship, measure, iterate, and build systems that make teams faster and products smarter — including using AI to automate workflows across the company.
What we offer
- Flexibility: work from our modern Stockholm office or fully remote.
- Data-driven culture: work with real-world data at scale and influence product decisions with measurable impact.
- Modern tech stack: PostgreSQL, MongoDB, Python (Pandas, Scikit-learn), AWS (S3, RDS, SageMaker), Airflow, and more.
- Professional development: we support certifications, AI/ML conferences, and access to Udemy courses.
- AI-first enablement: we actively automate workflows with AI — and we’ll compensate relevant AI subscriptions you need for your work.
- Relocation support: visa sponsorship and relocation assistance for international candidates.
- Work-life balance: no overtime culture and generous vacation policies.
- Security matters: we are ISO 27001:2022 certified, meaning we take information security and operational discipline seriously.
What you’ll do
- Own and evolve our data foundation: design, manage, and optimize PostgreSQL and MongoDB for reliability and performance.
- Deliver in short cycles: ship → measure → iterate, balancing experimentation with production-grade execution.
- Build and maintain data pipelines and ETL/ELT processes (Airflow or similar), ensuring data quality and observability.
- Develop and deploy ML models for forecasting, classification, recommendations, and automation use cases.
- Build practical ML infrastructure: training → evaluation → deployment → monitoring (including inference pipelines).
- Partner with Product and Engineering to integrate data-driven capabilities into live systems and workflows.
- Ensure data consistency, performance, and security across platforms and services.
- Use data and systems thinking to define metrics, identify bottlenecks, and drive improvements.
- Use AI tools to accelerate analysis, prototyping, documentation, and automation — while keeping quality and security intact.
We value
- High performance / results-first: measurable impact over activity.
- Entrepreneurial ownership: be the engine, not the passenger.
- Data-driven decisions + systems thinking: rigor, scalability, and continuous learning.
- Fast execution with integrity: speed and reliability.
- Continuous improvement: skills, mindset, and outcomes.
You’ll thrive here if you…
- Prefer short cycles: ship → measure → iterate.
- Can turn ambiguity into execution (and translate business questions into data solutions).
- Care about outcomes over process theater.
- Enjoy building scalable systems — not just one-off analyses.
What we’re looking for
- 7+ years in database engineering, data engineering, or machine learning roles (or a strong mix).
- Deep knowledge of SQL + NoSQL systems: indexing, normalization/denormalization trade-offs, query optimization, and performance tuning.
- Practical ML experience: supervised/unsupervised learning, feature engineering, evaluation, deployment, and monitoring.
- Strong Python skills (Pandas, NumPy, Scikit-learn) and comfort working in notebooks (Jupyter).
- Experience with Docker, orchestration/workflow tools (Airflow), and Git.
- Cloud experience (AWS preferred): S3, RDS, SageMaker (or equivalent).
- Ability to communicate clearly and document decisions, pipelines, and models.
- English: Upper-Intermediate+ for collaboration and documentation.
- Language bonus:
- Swedish is a strong plus (conversational/professional level or native).
- Ukrainian/Russian is a plus for smoother communication with part of the team.
- AI usage experience: practical experience using AI tools to accelerate data/ML workflows (we’ll support and compensate relevant subscriptions).
Nice to have
- Deep learning experience (TensorFlow / PyTorch).
- Hands-on MLOps experience (e.g., SageMaker pipelines, model registry, monitoring).
- Interest in BI, KPI automation, experimentation frameworks, or predictive analytics for SaaS.
Interview process (3 steps)
- Screening interview with the Recruiter.
- Technical interview with the Tech Lead + live task.
- Final approval interview with the CTO.
Why join us?
At Söderberg & Partners Heartpace AB, data is a product lever — not a reporting function. You’ll have real ownership to shape our data platform and ML capabilities, ship automation that matters, and see your work impact thousands of users across Europe.
Ready to Join?
Apply now and take the next step in your data career! Please send your CV to our Recruitment team by emailing career@heartpace.com and let’s explore how you can grow with us.
IT Business Analyst / Project Manager
Permanent location in the EU or Ukraine is required (we can only consider candidates legally based in the EU or Ukraine).
Join Söderberg & Partners Heartpace AB, a Swedish product company building reliable, high-quality software for the European market. We’re looking for an IT Business Analyst / Project Manager who is first and foremost a strong Business Analyst — someone who can take an idea from the Product Owner, gather and clarify requirements, and turn it into comprehensive, structured, build-ready documentation for the development team.
This role has a strong focus on comprehensive documentation. A key responsibility will be to write clear, detailed, and practical documentation based on product ideas, business needs, stakeholder input, and technical discussions — then break this documentation down into actionable tasks, plan delivery with the team, and support implementation through the full development cycle.
This is not a “meeting-only” BA role. We need someone who can drive outcomes, bring structure to ambiguity, work closely with Product Owners and engineering teams, and make sure requirements are clear enough to build, test, release, and improve. Project management is also an important part of the role: you will help keep delivery organized, facilitate Agile/Scrum processes, manage priorities and dependencies, and support the team in shipping with speed and confidence.
The ideal person has a strong background in business and technical analysis, comprehensive documentation writing, requirements gathering, stakeholder management, task creation, team planning, and conducting Scrum ceremonies.
What we offer
- Tech-driven environment: partner closely with experienced engineers, product owners, designers, QA, and business stakeholders on complex platforms.
- Modern stack exposure: collaborate with teams using Laravel, React, AWS, Docker, GraphQL, and more.
- Professional development: we support certifications, BA/project management courses, Agile/Scrum training, and access to Udemy.
- AI-first enablement: we actively automate workflows with AI — and we’ll compensate relevant AI subscriptions you need for your work.
- Work-life balance: no overtime culture and generous vacation policies.
- Security matters: we are ISO 27001:2022 certified, meaning we take information security and operational discipline seriously.
What you’ll do
- Take ideas and high-level product direction from the Product Owner and turn them into comprehensive, structured documentation for product, engineering, and QA teams.
- Gather, clarify, and document requirements from Product Owners, stakeholders, developers, QA engineers, architects, and other relevant team members.
- Translate business needs into clear, actionable, build-ready deliverables: epics, user stories, acceptance criteria, business requirements, functional requirements, technical requirements, and process flows.
- Create and maintain detailed documentation that explains the full context of the feature or change, including:
- product goals and business value
- user needs and user flows
- functional requirements
- technical requirements
- business rules
- edge cases and exceptions
- dependencies and assumptions
- data flows and data mappings
- API/integration notes
- acceptance criteria
- QA/testing notes
- release notes and delivery documentation when needed
- Break down documented requirements into clear Jira tasks, stories, subtasks, and backlog items for the development team.
- Plan implementation together with developers, QA, product, and other stakeholders to define scope, priorities, estimates, dependencies, risks, and delivery approach.
- Work closely with developers, QA engineers, architects, product owners, and business stakeholders to ensure requirements are understood, feasible, testable, and aligned with product goals.
- Turn ambiguity into execution by clarifying scope, priorities, risks, requirements, assumptions, success metrics, and expected outcomes early.
- Keep the backlog structured, transparent, and ready for development.
- Support project delivery by coordinating priorities, timelines, dependencies, risks, blockers, and stakeholder communication.
- Facilitate Agile/Scrum processes: backlog refinement, sprint planning, daily stand-ups, sprint reviews, retrospectives, QA handovers, release readiness, and post-release learning.
- Help the team work in short delivery cycles: idea → requirements → documentation → tasks → planning → build → test → release → improve.
- Use data-driven thinking to validate decisions, measure impact, and support continuous improvement.
- Use AI tools to speed up routine work such as drafting specifications, summarizing meetings, generating structured templates, preparing project updates, and validating edge cases — while keeping accuracy and security intact.
We value
- Comprehensive documentation: clear, structured, detailed, and practical documentation that teams can actually build and test against.
- Strong analytical thinking: ability to understand product ideas, business needs, technical context, and system logic.
- Requirement clarity: turning high-level ideas into specific, testable, and actionable requirements.
- High performance / results-first: measurable impact over activity.
- Entrepreneurial ownership: be the engine, not the passenger.
- Structured execution: clear priorities, clear communication, clear follow-through.
- Data-driven decisions + systems thinking: rigor, scalable processes, continuous learning.
- Fast execution with integrity: speed, quality, and reliability.
- Continuous improvement: skills, mindset, team processes, and outcomes.
You’ll thrive here if you…
- Enjoy turning Product Owner ideas and business needs into comprehensive documentation and clear delivery plans.
- Are strongest in Business Analysis and documentation, but also comfortable taking ownership of delivery coordination.
- Can gather requirements, challenge assumptions, ask the right questions, and document the full picture before implementation starts.
- Can break down complex requirements into clear tasks, stories, acceptance criteria, and implementation plans.
- Communicate equally well with Product Owners, business stakeholders, developers, QA, architects, and leadership.
- Prefer short delivery cycles: idea → requirements → documentation → tasks → planning → delivery → improvement.
- Care about outcomes over process theater.
- Enjoy working closely with engineers and understanding technical context, not only managing tasks.
- Know how to run Scrum processes in a practical, lightweight, and effective way.
- Communicate clearly, calmly, and proactively — especially when priorities shift or complexity increases.
What we’re looking for
- 6+ years of experience as a Business Analyst, IT Business Analyst, Systems Analyst, Technical Business Analyst, Product Owner, Project Manager, Delivery Manager, or similar role.
- Strong hands-on experience in Business Analysis within software development, SaaS, or product companies.
- Excellent documentation skills: ability to write comprehensive, structured, build-ready documentation for developers, QA, product, and business stakeholders.
- Proven experience taking high-level product ideas from a Product Owner or business stakeholder and turning them into clear requirements, tasks, and implementation plans.
- Strong experience gathering requirements, clarifying scope, documenting assumptions, identifying edge cases, and aligning stakeholders.
- Strong experience translating business needs into epics, user stories, acceptance criteria, functional requirements, technical requirements, process flows, and release documentation.
- Experience creating and maintaining Jira tasks, stories, subtasks, backlog items, and sprint-ready requirements.
- Good technical understanding of modern web/product systems: client-server architecture, HTTP, JSON, REST/GraphQL, APIs, databases, integrations, and system behavior.
- Solid SDLC understanding and experience working with Agile teams.
- Practical experience with Scrum processes, including backlog refinement, sprint planning, daily stand-ups, sprint reviews, retrospectives, and release coordination.
- Experience coordinating software development teams and managing delivery priorities, dependencies, risks, and stakeholder expectations.
- Tooling proficiency: Jira, Notion, Miro, ClaudeCode, Figma, Postman or similar tools.
- Strong stakeholder management: you can align product, engineering, leadership, and business with clarity and calm.
- Strong organizational skills: you can manage documentation, priorities, timelines, meetings, follow-ups, and delivery risks without losing details.
- English: Upper-Intermediate+ for collaboration, facilitation, and documentation.
- Language bonus:
- Swedish is a strong plus (conversational/professional level or native).
- Ukrainian/Russian is a plus for smoother communication with part of the team.
- AI usage experience: practical experience using AI tools to accelerate analysis, documentation, planning, meeting summaries, reporting, and requirements validation workflows (we’ll support and compensate relevant subscriptions).
Nice to have
- Previous experience as a Technical Business Analyst, Systems Analyst, QA, developer, product owner, or technical project coordinator.
- Experience in SaaS or product companies.
- Strong experience writing technical documentation for engineering and QA teams.
- Scrum Master, Product Owner, PMP, PRINCE2, AgilePM, or similar certification.
- Exposure to Laravel, React, or similar product stacks.
- Familiarity with CI/CD, AWS/cloud concepts, or containerized environments such as Docker.
- Experience improving BA processes, documentation standards, backlog quality, delivery metrics, or cross-team communication.
Interview process (3 steps)
- Screening interview with the Recruiter.
- Technical / BA interview with the Tech Lead.
- Final approval interview with the CTO.
Why join us?
At Söderberg & Partners Heartpace AB, we build with speed and discipline — and we take clarity seriously. You’ll have real ownership, close cooperation with strong engineering teams, and the opportunity to shape how we analyze, document, plan, and deliver product outcomes.
You’ll be the person who helps turn Product Owner ideas into clear requirements, comprehensive documentation, actionable tasks, and realistic delivery plans — making sure the right things are clearly understood, well documented, and built in the right way.
Ready to join?
Apply now and take the next step in your career! Please send your CV to our Recruitment team by emailing career@heartpace.com and let’s explore how you can grow with us.