The Regional People Partnering and Workplace Experience Manager plays a key operational leadership role in delivering integrated, high-quality people partnering and workplace experience support across the region.

With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.

We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability.

Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!

Reporting to the Head of Regional People Partnering and Workplace Experience, this role leads a multi-disciplinary team—including Regional People Partners (and, where applicable, People Advisors), as well as Workplace Experience Managers and/or Specialists—ensuring coordinated, consistent execution of strategic and operational priorities at the country level.

This role focuses on steering and enabling these teams to deliver outcomes, rather than handling all activities directly. By acting as the bridge between strategic direction and on-the-ground execution, the Manager ensures that people programs and workplace services are effectively delivered, culturally aligned, and continuously improved.

• Lead a multi-country, multi-disciplinary team. Directly manage Regional People Partners, People Advisors (where applicable), and Workplace Experience Managers/Specialists across the region — setting priorities, allocating work, coaching, developing careers, and driving accountability across both streams.
• Own people programme delivery across the region. Oversee execution of performance management, engagement, compensation review, talent development, and ER through the People Partnering team; act as senior escalation point for complex cases, labour relations, and business-critical people issues.
• Act as primary HR lead at country level. Steer day-to-day HR operations, ensure compliance with local labour law and global People guidelines, monitor policy implementation and programme adoption, and use people data to influence local and regional decisions.
• Direct workplace experience and office operations. Partner with the Head of Global Workplace Experience to oversee vendor management, H&S compliance, service standards, supplies, and budget — ensuring offices run consistently, safely, and cost-effectively across the region.
• Deliver cultural and operational experiences. Guide local Summits, holiday events, and company-wide cultural moments aligned to global standards; coordinate space planning, hybrid work, and infrastructure with Site Leads, Real Estate, Finance, and IT through your team.
• Bridge strategy and execution as the regional feedback loop. Translate global and regional direction into unified local action plans, surface country-level risks and insights to senior leadership, monitor KPIs across people and workplace, and feed into workforce planning, headcount forecasting, and budget.

• Multi-country HR ownership, an experienced people and operations leader with strong managerial capabilities across multi-country, cross-functional teams. — not exposure, actual accountability across different legal frameworks and ER cases in Portugal (nice to have in Spain, Italy, Malta, Cyprus and Paraguay).
• Proven at managing through others. They get their results via their team leads, not by doing the work themselves. This has to be their natural mode.
• Skilled in balancing high-level coordination with practical enablement of subject-matter experts across HR and workplace functions.
• Recognized for building trust, driving clarity, and enabling others to succeed while holding high standards of delivery.
• A connector and integrator—energized by cross-functional leadership and continuous improvement of local employee experience.

Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location.

About the Role

The Veeam Quality Assurance team invites you to work on Veeam products with Veeam QA professionals in the Lisbon R&D office.

What You'll Do

• Testing of one or several Veeam products
• Participating in products’ creation and development at all stages of their life cycle
• Analysing software requirements
• Participating in planning and creating the product test strategy
• Communicating with other participants of the product development process
• Training and development of new team members
• Evaluating test results, maintaining defects database
• Participating in customer technical support processes

What You'll Bring 

• Technical education or passion for technology
• 3+ years of software testing experience
• Deep understanding of software development principles and the QA role in this process
• Experience developing test strategies and plans, analysing test progress, and optimising the software testing processes
• Advanced knowledge of Windows, Linux or Unix operating systems
• Experience in network technologies and systems (DNS, DHCP, basic network settings, etc.)
• Open and flexible mind, common sense, clear logic, analytical skills
• Desire and ability to work in a team
• English proficiency for daily communication within international teams

Bonus Skills

• Experience working with databases like Microsoft SQL Server or Oracle Database
• Experience working with virtualization platforms like VMware vSphere and Microsoft Hyper-V
• Experience in test automation
• Experience managing and developing a QA team

What You'll Get

• 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical, dental, and optical insurance for employees and dependents
• Life and disability insurance worth 2x gross annual salary
• Monthly meal allowance of €10.46 per working day
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently present outside of Portugal, Veeam reserves the right to refuse to consider the application for a job. Remote work is only possible in case the employee is located in Portugal.

#LI-KJ1

#Hybrid

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

We’re looking for a Senior Lead, People Analytics to advance our data-driven approach to talent and workforce strategy. In this highly impactful individual contributor role, you will own and drive high-priority analytics initiatives that influence how we attract, engage, develop, and retain top talent. You’ll partner closely with HR, Finance, and business leaders to translate workforce data into actionable insights that inform decision-making and elevate the employee experience at Upwork. This is an opportunity to operate as a strategic thought partner, delivering sophisticated analysis that directly influences executive-level decisions and long-term workforce planning.

Your Responsibilities:

• Lead end-to-end people analytics initiatives, from problem framing and hypothesis development to analysis, insight generation, and executive-level presentation.

• Design and implement scalable data models and analytical frameworks across talent acquisition, engagement, performance, workforce planning, and retention.

• Identify, evaluate, and champion AI and machine learning tools that enhance how we surface workforce insights, automate repetitive reporting tasks, and develop predictive models for attrition, hiring, and performance outcomes.

• Experiment with and integrate AI-assisted analysis — including the use of large language models and generative AI tools — to accelerate insight generation, improve narrative quality, and scale the team's analytical output.

• Partner with HR and business leaders to translate workforce data into strategic and actionable recommendations.

• Build and maintain dashboards, reporting tools, and scalable self-service analytics capabilities that increase data accessibility and adoption.

• Identify and remediate data quality gaps within Workday and related systems, strengthening the integrity and reliability of people data.

• Communicate nuanced analyses in a clear and compelling way to diverse stakeholders, from HR partners to executives.

• Leverage external benchmarks, industry trends, and best practices to inform Upwork’s people strategy.

• Ensure data integrity and compliance with privacy regulations while continuously improving data collection and analysis processes.
  
  

What it takes to catch our eye:

• Strong background in People Analytics, Workforce Analytics, or a related field with a proven track record of delivering strategic, business-impacting insights.

• Hands-on experience with Workday HCM, including building and maintaining advanced or custom reports, leveraging calculated fields, and improving data quality and reporting structures.

• Experience with Qualtrics and Greenhouse is a plus.

• Proficiency in analytics tools such as SQL, Python, R, Tableau, or similar platforms.

• Curiosity and hands-on experience with AI tools — including experience using LLMs, AI-assisted coding tools (e.g. GitHub Copilot), or ML frameworks to enhance analytical workflows or build predictive models.

• A forward-thinking mindset with a demonstrated ability to identify where AI and automation can meaningfully improve how people data is gathered, analyzed, and acted upon.

• Strong business acumen and ability to connect data insights to strategic objectives.

• Ability to independently lead and prioritize multiple high-impact initiatives in a fast-paced environment.

• Excellent communication skills, with the ability to distill complex analyses into clear, actionable recommendations.

• A passion for leveraging data to drive equity, inclusion, and positive employee experiences.

Come change how the world works.

Upwork is establishing its first international operational hub in Lisbon, Portugal. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice and the Applicant Privacy Addendum (EEA, UK, and Switzerland).

The annual base salary range for this position is displayed below. Individual base pay will depend on your skills, qualifications, experience, and location. Additionally, this position is eligible for the annual bonus plan or sales incentive plan and eligibility to participate in our long term equity incentive program.

Annual Base Compensation
€63.000 - €79.000 EUR

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

We’re looking for a Senior Lead, People Analytics to advance our data-driven approach to talent and workforce strategy. In this highly impactful individual contributor role, you will own and drive high-priority analytics initiatives that influence how we attract, engage, develop, and retain top talent. You’ll partner closely with HR, Finance, and business leaders to translate workforce data into actionable insights that inform decision-making and elevate the employee experience at Upwork. This is an opportunity to operate as a strategic thought partner, delivering sophisticated analysis that directly influences executive-level decisions and long-term workforce planning.

Your Responsibilities:

• Lead end-to-end people analytics initiatives, from problem framing and hypothesis development to analysis, insight generation, and executive-level presentation.

• Design and implement scalable data models and analytical frameworks across talent acquisition, engagement, performance, workforce planning, and retention.

• Identify, evaluate, and champion AI and machine learning tools that enhance how we surface workforce insights, automate repetitive reporting tasks, and develop predictive models for attrition, hiring, and performance outcomes.

• Experiment with and integrate AI-assisted analysis — including the use of large language models and generative AI tools — to accelerate insight generation, improve narrative quality, and scale the team's analytical output.

• Partner with HR and business leaders to translate workforce data into strategic and actionable recommendations.

• Build and maintain dashboards, reporting tools, and scalable self-service analytics capabilities that increase data accessibility and adoption.

• Identify and remediate data quality gaps within Workday and related systems, strengthening the integrity and reliability of people data.

• Communicate nuanced analyses in a clear and compelling way to diverse stakeholders, from HR partners to executives.

• Leverage external benchmarks, industry trends, and best practices to inform Upwork’s people strategy.

• Ensure data integrity and compliance with privacy regulations while continuously improving data collection and analysis processes.
  
  

What it takes to catch our eye:

• Strong background in People Analytics, Workforce Analytics, or a related field with a proven track record of delivering strategic, business-impacting insights.

• Hands-on experience with Workday HCM, including building and maintaining advanced or custom reports, leveraging calculated fields, and improving data quality and reporting structures.

• Experience with Qualtrics and Greenhouse is a plus.

• Proficiency in analytics tools such as SQL, Python, R, Tableau, or similar platforms.

• Curiosity and hands-on experience with AI tools — including experience using LLMs, AI-assisted coding tools (e.g. GitHub Copilot), or ML frameworks to enhance analytical workflows or build predictive models.

• A forward-thinking mindset with a demonstrated ability to identify where AI and automation can meaningfully improve how people data is gathered, analyzed, and acted upon.

• Strong business acumen and ability to connect data insights to strategic objectives.

• Ability to independently lead and prioritize multiple high-impact initiatives in a fast-paced environment.

• Excellent communication skills, with the ability to distill complex analyses into clear, actionable recommendations.

• A passion for leveraging data to drive equity, inclusion, and positive employee experiences.

Come change how the world works.

Upwork is establishing an operational hub in Toronto, Canada. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice and the Applicant Privacy Addendum (Canada). 

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond.

Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn.

Upwork’s Marketing Analytics team is focused on optimizing our growth engines through rigorous experimentation and data-driven decision making. This role sits at the intersection of product and marketing, driving measurement and experimentation across the customer funnel to improve acquisition, engagement, and conversion. You will partner cross-functionally with product, marketing, SEO, and data science teams to design experiments, analyze user behavior, and build frameworks that inform growth strategy. This role also supports understanding organic discovery, including traditional search and emerging AI-driven discovery surfaces.

Your Responsibilities:

• Organic & AI Discovery Analytics: Support analysis of organic channels, including SEO and emerging AI-driven discovery (e.g., ChatGPT, Gemini). Evaluate performance signals such as engagement, traffic, and visibility.
• Strategic Communication: Present insights and recommendations to marketing leadership, influencing growth strategy and prioritization.
• Experimentation & Testing: Design, execute, and analyze A/B and incrementality tests. Define hypotheses, success metrics, and test duration, and conduct deep post-test analysis to inform decisions.
• Drive insights that improve conversion, engagement, and overall growth.
• Data Extraction & Technical Analysis: Extract and analyze large datasets using SQL, Python, or R to support experimentation, user behavior analysis, and growth initiatives.
• Experimentation Tooling: Utilize platforms such as Statsig, Optimizely, VWO, or similar tools to implement and monitor experiments across experiences.
• SEO Tooling: Leverage tools such as Google Search Console, SEMrush, Ahrefs, or similar to explore keyword performance and on-site engagement trends.

What it takes to catch our eye:

• A degree in Mathematics, Statistics, Economics, Computer Science, or a related quantitative field.
• Proven experience designing and executing experiments (A/B, multivariate, incrementality), including hypothesis development, metric definition, sample sizing, and post-test analysis.
• Experience in marketing or growth analytics, with a strong focus on customer funnels, acquisition, and conversion optimization. Experience with organic search and SEO analytics.
• Technical Proficiency: Strong SQL skills and proficiency in Python or R for analyzing large datasets and supporting experimentation and analytics workflows.
• Experimentation Tools: Experience with platforms such as Statsig, Optimizely, VWO, or similar tools used to run and monitor experiments.
• BI tools such as Looker or Tableau. (SEO-specific tools are a plus, e.g., Google Search Console, SEMrush, Ahrefs, Botify, Screaming Frog)
• Testing & Statistical Knowledge: Strong foundation in experimental design, statistical significance, and methods to measure incremental impact.
• Marketplace Context: Previous experience in a two-sided marketplace or consumer tech environment will be highly regarded.

Come change how the world works.

Upwork is establishing an operational hub in Toronto, Canada. The new office is expected to be fully operational by Q4 2026. This role will require 3 days in office once we have an office open.

This position will initially be employed through a partner to ensure a seamless hiring process while we establish the hub. Once the hub is established, there may be opportunities to transition to employment with Upwork, depending on business needs and other requirements. While employed by the partner, you’ll work as part of Upwork’s team, with access to our resources, culture, and growth opportunities.

Our partner will offer competitive benefits. When Upwork’s hub is established, we will be excited to offer employment and benefits directly as business needs require. 

Upwork is committed to building a diverse, inclusive, and equitable workforce. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or any other status protected by applicable law.

We use BrightHire, an AI-enabled tool, to record interviews and summarize interview transcripts. The tool allows the interviewer to focus on the discussion and does not score or evaluate candidates or make recommendations. The interview transcripts are reviewed, and decisions are only made by humans. Candidates who prefer not to have their interview recorded through BrightHire can opt out when the interview is scheduled.

About the Role

The Veeam Quality Assurance team invites you to work on Veeam products with Veeam QA professionals in the Lisbon R&D office.

As a Performance QA Engineer, you will work on large‑scale, real‑world backup and data protection scenarios used by enterprises worldwide. Your work will directly influence the scalability, reliability, and performance of Veeam products running in some of the most demanding environments.

What You'll Do

• Design and execute performance, load, and scalability testing for major components of Veeam products (from requirement analysis and lab design to test execution and results analysis)
• Build and maintain realistic enterprise‑grade test environments, including large infrastructures and complex topologies
• Identify performance bottlenecks and system limits, and work closely with developers, functional QA, and product managers to resolve them
• Participate in root cause analysis of performance issues reported by Technical Support and customers
• Own and evolve performance test labs: environment creation, configuration, monitoring, and collaboration with IT teams

What You'll Bring

• Technical education or a strong, hands‑on passion for systems and performance
• 1–2 years of experience in performance and/or load testing (or a strong practical background in system performance)
• Ability to analyze test results and clearly identify bottlenecks, limits, and performance risks
• Solid knowledge of Windows and/or Linux at an advanced user or system administration level
• Good understanding of system internals: CPU, memory, storage, networking
• Strong analytical mindset, attention to detail, and structured thinking
• Motivation to grow as a performance and scalability engineer
• English proficiency for daily communication within international teams

Bonus Skills

• Experience with databases (Microsoft SQL Server, PostgreSQL), including profiling and performance analysis
• Scripting, test automation, or infrastructure deployment experience
• Understanding of virtualization platforms and large virtual environments
• Hands‑on experience with cloud platforms (Azure, AWS, Google Cloud)
• Experience with Python
• Familiarity with Ansible, Terraform, or similar infrastructure‑as‑code tools

What You'll Get

• 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical, dental, and optical insurance for employees and dependents
• Life and disability insurance worth 2x gross annual salary
• Monthly meal allowance of €10.46 per working day
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

#LI-YS1

#Hybrid

About the Role

The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam products, and motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. As a Customer Success Engineer, you are the primary technical owner driving long-term customer outcomes across the Veeam Data Platform. You’ll lead onboarding, adoption, and optimization; proactively identify churn risk, migrations, and upsell opportunities; and apply deep disaster recovery and resilience (DR&R) expertise to conduct recovery simulations, DRMM assessments, and quarterly resilience reporting for measurable customer value

What You’ll Do

• Configure customer accounts; customize backup policies and storage; facilitate onboarding; orient stakeholders; walk through admin portals; introduce support channels.  
• Identify migration opportunities; analyze usage and environment; conduct success planning and strategy sessions; align business outcomes with product adoption.  
• Conduct assessments; build protection plans; recommend software products and architectures across the Veeam Data Platform.  
• Run recovery simulations; apply the Veeam Data Resilience Maturity Model (DRMM) to track and report resilience posture; deliver quarterly resilience reports.  
• Monitor signals to detect churn risk early; define mitigation plans; partner on renewal strategy with actionable technical insights.  
• Build business cases; define TCO; articulate value propositions for expansion; schedule checkpoint reviews with stakeholders.  
• Engage CISO/CIO stakeholders with clear risk, status, and opportunity updates; support context for executive discussions and roadmap alignment.  
• Collaborate on marketing-informed campaigns and plays to drive adoption and expansion.  
• Operate with a long-term account assignment model tied to ARR and growth potential, typically covering 5–50 Enterprise and Commercial-Named accounts with $100K+ ARR.  
• Own the technical success plan and adoption roadmap; influence pricing, commercial terms, and renewal terms in partnership with Sales and CS leadership

What You’ll Bring

• 5+ years in customer-facing engineering roles focused on data backup and recovery (e.g., Technical Consulting, Pre-Sales SE, Technical Account Manager); this is a mid-level role.  
• Advanced level of English 
• Hands-on expertise across operating systems, virtualization, storage, scripting/automation, cloud platforms, and DR&R best practices.  
• Strong experience designing and executing protection plans, migrations, and recovery simulations; familiarity with Veeam platform capabilities is a plus.  
• VMCE certification required (may be completed post-hire within an agreed timeframe).  
• Preferred industry certifications: AWS Solutions Architect (Associate/Professional), Microsoft Azure Administrator or Solutions Architect Expert  
• Proven ability to translate business outcomes into technical adoption roadmaps and measurable value.  
• Executive stakeholder engagement skills (CISO/CIO) with the ability to synthesize technical, business, and risk signals into clear recommendations.  
• Excellent communication, cross-functional collaboration, and stakeholder management skills. 

What You’ll Get 

• 24 annual vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical, dental, and optical insurance for employees and dependents
• Life and disability insurance worth 2x gross annual salary
• Monthly meal card with €10.46 per working day
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside of Portugal. Veeam reserves the right to decline the application for the position. Remote work is only possible for employees located in Portugal.

#LI-AP1

What this job can offer you

This is an exciting time to join Remote and make a personal difference in the global employment space as a Sales Development Manager, joining our Sales team and supporting our EMEA based Outbound Sales Development Representatives.

The Sales Development organization fuels Remote's growth by serving two critical business objectives: To generate a predictable pipeline of qualified new business opportunities, and to produce high-caliber talent for internal promotions to other GTM teams.

As the initial point of contact for new customers, we aim to deliver positive and impactful first impressions as we start these new relationships.

What you bring

• Experience leading Sales Development Representatives at a fast growing tech company
• Track record of success driving pipeline through inbound and outbound channels
• Strong sales acumen — experience in a closing role strongly preferred
• Familiarity with a robust tech stack (Salesforce, Outreach, Zoominfo, LeadIQ, and more)
• Passion for hiring, onboarding, and mentoring top talent
• Proven ability to influence cross-functional stakeholders, namely sales and marketing
• Writes and speaks fluent English & German
• Experience working remotely not required but considered a plus

Key Responsibilities

• Coach Sales Development Representatives to reach outbound pipeline generation goals
• Develop team members to grow new sales skills and level up their current skill set
• Deliver process and content improvements to accelerate SDR effectiveness
• Collaborate with regional Sales Directors, Sales Development Managers and Director of Sales Development to improve quality and quantity of sales pipeline
• Partner with Marketing (Growth) to deliver feedback on MQL quality and new campaign ideas
• Regularly Report on key individual and team metrics to flag areas for improvement
• Hire and onboard new Sales Development Representatives

Practicals

• You'll report to: Director, Sales Development
• Team: Sales
• Location: EMEA
• Start date: As soon as possible

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

The base salary range for this full-time position is between $36,295 USD to $122,500 USD. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

Application process

1. Recruiter Interview (30 Minutes)
2. Hiring Manager Interview (60 Minutes)
3. Interview Loop (3 managers) (90 Minutes) 
4. Bar Raiser (30 Minutes) 

What this job can offer you

As a GP Compliance Expert, you are the owner of payroll compliance for your country or region. You hold deep expertise in local legislation and apply it across everything from audits to product design. You’ll translate complex rules into scalable processes, systems, and documentation — ensuring Remote continuously meets (and anticipates) regulatory standards.

You will work closely with Product, Engineering, Design, Operations, and Legal to embed compliance into the foundations of our global payroll platform. You’ll lead investigations and incident resolution, drive continuous improvement, and mentor teams to raise compliance capability across the organisation.

This role blends subject-matter expertise with strategic systems thinking — making you a key architect in how Remote builds compliant, automated global payroll at scale.

What you bring

• Deep expertise in payroll, employment compliance for your country/region — and a strong understanding of how legislation translates into payroll calculations and system logic.
• Proven record leading audits, regulatory reviews, or country-level compliance programs.
• Experience partnering with technical teams to convert statutory rules into product requirements.
• Strong communicator capable of influencing stakeholders across Product, Engineering, Legal, Support, and Senior Leadership.
• Confident investigator with sound judgment in high-risk or sensitive scenarios.
• Mentor and coach who grows the capability of the team around you.
• Systems thinker who designs frameworks, documentation, processes, and controls that scale.
• Comfortable operating in an async, fast-changing, fully remote environment.

Key Responsibilities 

Own compliance for your country or region

• Be the accountable expert for payroll compliance in your jurisdiction(s).
• Ensure local requirements are correctly interpreted, documented, and implemented across processes, systems, and customer workflows.

Embed legislation into Remote’s product

• Translate statutory rules, payroll logic, tax calculations, thresholds, and edge cases into structured requirements for Product and Engineering.
• Partner with Product Design to create user experiences that are compliant, intuitive, and auditable.
• Review specifications, test logic, and validate product outputs to ensure legislative accuracy.

Lead complex audits and compliance programs

• Own and deliver multi-country or high-risk audits from planning through remediation.
• Establish audit frameworks that scale across new and existing jurisdictions.
• Identify root causes and drive systemic improvements.

Lead investigations and incident resolution

• Serve as the primary escalation point for compliance issues in your region, supporting Incident Managers to resolve incidents swiftly and effectively.
• Partner cross-functionally to resolve incidents quickly and implement permanent corrective and preventative actions.

Design and implement processes and governance frameworks

• Create clear, scalable, and documented processes for payroll compliance operations.
• Develop controls, SOPs, and monitoring mechanisms to ensure ongoing adherence.
• Align global policies with regional requirements and drive consistency across markets.

Enablement, documentation, and knowledge sharing

• Build training materials, guidance, and rules documentation to upskill internal teams.
• Deliver quarterly enablement, lead learning sessions, and coach Specialists and Leads.
• Maintain high-quality documentation for compliance rules, workflows, and system logic.

Cross-functional influence & stakeholder partnership

• Partner with Product, Engineering, Legal, Support, and Customer Success to ensure compliance is embedded into decision-making.
• Achieve ≥90% stakeholder satisfaction by being responsive, proactive, and solutions-oriented.
• Support go-to-market, customer escalations and expansion initiatives with clear compliance guidance.

Practicals

• You'll report to: Manager, Payroll Strategy and Compliance
• Team: Payroll Strategy and Compliance
• Location: For this position we welcome everyone to apply, but we will prioritize applications from the following locations as we encourage our teams to diversify; United Kingdom, Ireland
• Start date: As soon as possible

Application process

1. Interview with recruiter
2. Technical Assessment
3. Interview with future manager
4. Interview with Director
5. Bar Raiser Interview
6. Prior employment verification check 

Salsify is seeking an AI CS Technical Consultant to accelerate the adoption and value realization of Salsify’s AI capabilities across our customer base. This role operates at the intersection of Customer Success, Services, and Product/R&D, ensuring customers successfully adopt and expand their use of Salsify’s AI-powered capabilities.

The AI CS Technical Consultant will act as a technical and strategic advisor to both internal teams and customers, helping translate Salsify’s AI capabilities and products into tangible business outcomes. This role is particularly focused on driving adoption and impact of Salsify Intelligence Suite, and ensuring customers move seamlessly from implementation into long-term value realization.

How you will make an impact:

Drive AI Adoption and Customer Value

• Focus on the adoption and business value realization of Salsify’s AI capabilities across the customer base.
• Proactively monitor adoption of Salsify’s AI capabilities—currently with a strong focus on Intelligence Suite—across all customers
• Identify adoption challenges and opportunities, and collaborate with Customer Success, R&D, and Services to develop targeted adoption plans.
• Monitor execution of these plans and help ensure customers realize measurable business outcomes from AI capabilities.

Expand Customer Use Cases

• Partner closely with Customer Success Managers to help customers think through expanded AI use cases aligned to their business goals.
• Translate customer challenges into actionable AI workflows using Salsify’s capabilities.
• Create execution plans for new use cases and assist customers in implementing them successfully.

Capture and Scale Success Stories

• Help Customer Success identify and document customer success stories related to AI adoption.
• Capture and articulate the business impact and measurable outcomes delivered through Intelligence Suite.
• Contribute insights that can inform broader customer enablement, product improvements, and go-to-market messaging.

Enable Post-Implementation Success

• Serve as a liaison between Professional Services and Customer Success to help customers transition smoothly from implementation into an ongoing adoption and optimization phase.
• Ensure AI configurations and workflows established during implementation are effectively operationalized post-launch.
• Provide technical guidance to ensure continued success and growth of AI capabilities within customer environments.
• Provide technical expertise to unblock customers and help them quickly realize value from AI features.

You’ll Enjoy This Role if You Have:

• Customers actively adopting and expanding their use of Salsify AI capabilities.
• Measurable business outcomes from Intelligence Suite.
• Faster transitions from implementation → adoption → expansion.
• Strong collaboration between Customer Success, Services, and Product.
• A growing library of AI customer success stories.

Recommended Qualifications:

• Experience in post-sales technical roles such as Forward Deployed Engineer, Solutions Engineer, Implementation Consultant, or Technical Customer Success.
• Strong ability to translate AI capabilities into real customer workflows and business value.
• Comfortable working cross-functionally with CS, Services, Product, and Engineering.
• Experience supporting SaaS products in a customer-facing environment.
• Strong analytical and problem-solving skills with a focus on driving product adoption.
• Proficient with Javascript. 

At Salsify, our Product team fosters an environment of growth, curiosity, collaboration, and deep empathy for our users and each other. As a Product Manager 2 on our Network Core team, you will be the steward of our foundational global Network of critical integrations with global retail and ecommerce platform partners. This role is critical as we work to make informed decisions that allow Salsify to continue our leadership in the PXM category by enabling our customers and partners to provide consumers with a best-in-class omnichannel experience.

In this role, we’re looking for a proactive learner who is excited about understanding technical concepts and connecting those with business value. Our Network Core team is tasked with maintaining, enhancing, and evolving our network of key content destinations like Amazon, Shopify, Walmart, and many others, to enable our customers to “make every product experience matter”. A successful candidate will demonstrate the ability to build a functional understanding of our ecosystem, prioritize investments to ensure platform reliability and maintainability, and partner closely with Engineering, cross-functional partners, and Product leadership to bridge the gap between technical requirements, user needs, and business value.

What does success look like?

• Ensure the stability of core foundational systems while identifying incremental improvements and AI-driven enhancements to optimize workflows.
• Develop domain expertise and become a credible resource for both internal teams and external partners -- documenting and sharing learnings to enable the broader organization.
• Navigate complex migrations, deprecations, and technical investment initiatives by providing clear visibility into timelines and risks.
• Operate effectively in partnership with Engineering, other PMs, and Design demonstrating technical aptitude and developing a shared vision.

If you’re the ideal candidate:

• You possess a high capacity for, and drive to learn technical domains (e.g., system reliability, infrastructure, or technical operations) and can translate that knowledge into well-documented requirements, which are framed appropriately for your engineering team, your leadership team, your cross-functional partners, and of course, your customers.
• You have a proven track record of independently proposing pragmatic solutions and gaining buy-in across R&D teams for horizontal initiatives.
• You leverage data to prioritize the important over the urgent, and you are methodical in addressing both short-term fixes and long-term stability.
• You can adapt your communication style to resonate with everyone from engineers to customers to product leadership, ensuring alignment on objectives and dependencies.
• You bring a positive, growth-oriented mindset to a constantly evolving environment and view setbacks as opportunities to learn.
• You’re able to Identify opportunities to enhance the value of technical investments by finding opportunities to connect them with customer or business facing initiatives that drive more visible value to non-technical stakeholders.

Background and Experience:

• 5+ years of product management or similar experience in technical domains, especially focusing on Network or partnership, system reliability, technical operations, or infrastructure projects.
• Proven track record of building strong cross-functional relationships with colleagues and partners and building influence within an organization that is brimming with strong opinions and deep expertise.
• Strong interpersonal skills: must be sharp, energetic, outspoken, and results-oriented; able to prioritize and focus in a constantly evolving environment.
• Problem-solving abilities: You're proactive in identifying issues, and you're methodical in creating solutions that address both short-term fixes and long-term stability.
• Ability to collect and deeply understand user feedback and then amplify that learning to the organization.
• Strong change management skills including sorting through ambiguity and a positive mindset about change
• An analytical mindset and the aptitude to partner with Engineering on more technical projects
• You leverage data to prioritize investments and make informed decisions that maximize impact.
• Experience with escalation management.

There may be up to 5% travel required including international travel for in-person company, departmental, team or customer meetings.

What this job can offer:

Sales helps our prospective customers and active customers to fully experience our Global HR Platform. Sales is the team responding to incoming queries and helping customers understand how to maximise Remote’s full suite of products to meet their employment needs. To enable them to embody our value of Transparency, we have a fair price guarantee.

What you bring:

• Proven business development success through effective use of core sales tools (Knowledge of SalesForce, LinkedIn Sales Navigator, Outreach, Lusha)
• Previous experience working as an SDR in a B2B SaaS Tech company
• Able to negotiate skillfully, promote/sell ideas persuasively
• Exceptional communication skills, both oral and written, coupled with excellent listening skills and a positive and energetic phone presence
• Able to think strategically and tactically. Able to maintain a positive attitude in the face of criticism, rejection, or failure
• Promotes a strong sense of urgency for reaching goals and key deliverables. Self Starter. proactive and brings new ideas to the team
• Extremely self-motivated with a diligent work ethic
• Demonstrated success in the below areas listed in key responsibilities
• Fluency in English
• It's not required to have experience working remotely, but considered a plus

Key responsibilities

• Respond, engage and qualify outbound leads and inquiries
• Sourcing new sales prospects and reaching out to them to book appointments for Account Executives
• Clearly communicating Remote's value propositions to prospects and learning about their needs to see if there’s a good fit
• Providing support to Account Executive team as needed
• Be responsible for educating and developing prospects leading to hand-off to sales teams
• Create target prospects lists and penetrate key accounts
• Cold call into prospects generated by variety of outside sources
• Identify key players, researching and obtaining business requirements, and presenting solutions to begin sales cycle

Practicals

• You'll report to: Manager, Outbound Sales Development
• Team: Sales
• Location: EMEA
• Start date: As soon as possible

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

Application process

1. Interview with recruiter 
2. Interview with future manager + Mock Call
3. Interview with Senior Manager
4. Bar Raiser Interview
5. Employment Verification Check

Role Overview

Remote is looking for a data-driven Account-Based Marketing (ABM) Specialist to lead our paid acquisition strategy for high-value target accounts. This role focuses on scaling our presence across Employer of Record (EOR), Contractor Management, and Global Payroll services. You will own the execution of paid campaigns across EMEA, Americas, and APAC, utilizing advanced ABM platforms to target opportunities from mid-market and enterprise customers.

Key Responsibilities

ABM Strategy & Platform Management

• Audience Architecture: Build and manage Ideal Customer Profile (ICP) audiences within ABM platform, including precise exclusion lists for existing customers, prospects, and competitors.
• Intent-Driven Orchestration: Leverage ABM platform intent data to trigger personalized ad experiences across LinkedIn, Meta, and Google.
• Form Optimization: Implement and manage HubSpot Smart Form Fills to enrich lead data and improve conversion rates for targeted accounts.

Paid Media Execution

• Multi-Channel Management: Develop and implement search and social strategies, including audience targeting (1p, 2p, 3p data) and sizing recommendations.
• Performance Optimization: Conduct daily and weekly pacing audits, quarterly deep-dive health checks, and ongoing A/B testing of text ads and creative formats.
• Channel Specifics: Manage high-match-rate LinkedIn segment syncs (30+ active segments) and optimize Google Ads through first-party contact integration.
• Marketplace Presence: Oversee listing descriptions and review collection campaigns on platforms like Gartner Digital Markets (GDM) to improve brand awareness and CVR.

Cross-Functional Alignment

• Sales Collaboration: Align paid strategies with Sales to win orchestrate approach, providing specialized landing pages and account-specific support.
• Analytics & Tracking: Partner with the Analytics team to build a measurement plan for ABM
• Lifecycle Integration: Partner with lifecycle on nurture sequences across stages (Lead → MQL → Opportunity → Deal) to ensure consistent messaging for target personas.

Qualifications

• Experience: 6+ years of experience in B2B performance marketing, specifically managing $3M+ annual budgets across paid search and social.
• Technical Proficiency: Advanced knowledge of Clay, ZoomInfo, HubSpot, Salesforce, Meta ads manager and LinkedIn Campaign Manager.
• Analytical Rigor: Expertise in UTM architecture, conversion tracking installation, and data-driven decision-making.

Application process

1. Interview with recruiter
2. Interview with future manager
3. Interview with team members (no managers present)
4. Bar Raiser Interview
5. Prior employment verification check 

About the Opportunity

You will have the opportunity to develop the experience of planning and operationalize daily schedules, in order to accomplish the targets. Work in a different and growing innovative environment that mixes healthcare with AI in a market in expansion. Develop experience of working with a multicultural team local and remote.

Responsibilities

• Analyze outputs generated by artificial intelligence from Coronary CTA exams.
• Evaluate Coronary CTA exams for image quality.
• Perform administrative duties as required.
• Participation in continuous improvement projects
• Comply with process and quality standards.

Requirements

• Medical imaging and radiotherapy university Degree
• Availability to work different shifts
• High attention to detail
• Great interpersonal skills - must be able to work well in a team environment
• Desire and ability to learn new technologies - willing to learn
• Coronary CTA or 3D post-processing experience is a plus 

Salary:

€1460.00 (monthly)

We are looking for a data-driven, scrappy, and collaborative PLG Manager to build our growth engine from the ground up. You’ll be architecting how users discover, adopt, and eventually pay for our product. You will be the glue between Product, Marketing, and RevOps, ensuring that our "self-serve" motion is as frictionless as possible.

Core Responsibilities

• Program Foundation: Define and build the PLG framework, including the tracking of North Star metrics, identifying "Aha!" moments, and establishing a rigorous experimentation culture.
• Product Collaboration: Work closely with the Product team to optimize the onboarding flow, reduce Time-to-Value (TTV), and build in-app triggers that drive virality and expansion.
• Lifecycle Mastery: Partner with Marketing to build automated, behavior-based messaging (email, push, in-app) that nudges users toward key activation milestones.
• RevOps & Data Integrity: Collaborate with RevOps to ensure our tech stack (e.g., Segment, Mixpanel, HubSpot/Salesforce) captures the right data to trigger sales-assist motions (PQLs) when a self-serve user is ready to upgrade.
• Experimentation: Run continuous A/B tests on pricing pages, sign-up flows, and gated content to maximize conversion rates.

What You Bring

• 4+ years of experience in Growth Marketing, Product Management, or Growth Operations—ideally within a SaaS environment.
• Analytical Rigor: You are comfortable in SQL or data visualization tools (Tableau/Looker) and can tell a story with numbers.
• Technical Fluency: You understand how APIs, webhooks, and tracking pixels work. You speak the language of "Product" and "Engineering."
• The "Growth Mindset": You are comfortable failing fast. You’d rather run 10 small tests than spend six months building one "perfect" feature.
• Cross-Functional Leadership: You know how to influence teams that don't report to you to get growth experiments on the roadmap.

Application process

1. Interview with recruiter
2. Interview with future manager
3. Interview with team members (no managers present)
4. Bar Raiser Interview
5. Prior employment verification check 

In the last year at Loka, our engineers have helped clients advance the world’s #1 AI reading tutor, eliminate $1B in food waste and develop novel drugs for fighting cancer. To cap it off, at the end of 2024 Loka was recognized by AWS as Innovation Partner of the Year, outshining 150,000 partners for the title.

Our award-winning engineering work is driven by our Sales team—the team that we want you to lead.

We’re seeking a Head of Sales Operations to drive our revenue engine to the next level. In this role you will architect the operational backbone that connects our world-class Sales team with our elite Engineering teams. You'll build systems and processes that scale seamlessly from startup speed to enterprise precision, ensuring every client engagement launches flawlessly from first conversation to final deployment.

We count more than 200 certified specialists, technical experts and PhDs among our colleagues. We work entirely remotely, test new ideas with our in-house incubator LokaLabs™ and take every other Friday off (really).

If you're one of those rare leaders driven to transform how elite consulting teams operate at scale, consider Loka your optimal leverage point.

The Role

Lead and expand our existing sales operations by supporting a dynamic team of 5-6 sales professionals while building the foundation for aggressive growth.

Architect systems and processes that seamlessly connect sales pipeline to delivery excellence, ensuring our clients experience Loka's superlative execution from first conversation through project completion.

Drive daily coordination between sales and engineering operations on staffing, project logistics and resource allocation.

Build and lead proactive analytics and reporting that not only track what happened but also predict what's coming.

Scale operations as we expand our GenAI practice and grow our AWS partnership into new customer segments

Manage and grow a high-performing sales operations team, establishing career paths and mentoring future leaders.

Partner closely with leadership on strategic opportunities and data informed decisions as we scale and guide strategic decisions along the way.

Leadership Requirements

• 10+ years of progressive experience in sales operations, revenue operations or related functions with increasing responsibility and impact
• Proven management experience at director level or above, with demonstrated success building and scaling high-performing teams in fast-growth environments
• Systems architecture mindset with hands-on experience designing and implementing scalable revenue operations processes and technologies
• HubSpot expertise and experience with modern sales tech stack integration, reporting and optimization
• Cross-functional collaboration with internal stakeholders to ensure seamless execution
• Analytics and reporting mastery with ability to transform data into actionable insights that drive both tactical improvements and strategic decisions
• Scaling experience with proven success guiding company operations through significant growth phases
• Hands-on mindset, comfortable performing operational work in a fast-changing environment

Experience Profile

• Software-services experience preferred though exceptional candidates from SaaS, consulting or other technology sectors will be considered
• Startup-to-scale-up experience with comfort operating in ambiguous, fast-moving environments while building enterprise-grade processes
• Global or distributed team experience managing across time zones and cultures
• Client relations skills with ability to represent operational excellence in strategic client conversations

Personality Profile

Curiosity: You strive to learn and grow into different industries with a modern tech stack and ever-evolving client needs.

Autonomy and leadership: You thrive in a fully remote, globally distributed environment while driving results across multiple stakeholders.

Collaborative excellence: You enjoy building bridges between sales, engineering and delivery teams to create seamless client experiences.

Adaptability: You operate with a startup mindset and move at startup speed while building enterprise-quality processes.

Benefits

Every other Friday off (26 extra days off a year)

Remote-first and flexible schedule with access to offices in Portugal, North Macedonia and Colombia

Explorer and Relocate programs (three months abroad or full international relocation support)

Paid sick days and local holidays

Access to LokaLabs™, our internal R&D incubator where you can explore moonshot technologies

Mental wellness and physical fitness programs

Continuous learning support with yearly curiosity allowance

Additional Requirements

Excellent English. As a global team, we work entirely in English for meetings, customer calls and business communications.

CV submitted in English

Your achievements matter to us! Ensure your CV and LinkedIn profiles are up to date and accurately reflect your leadership experience and operational impact.

In the last year at Loka, our engineers have helped clients advance the world’s #1 AI reading tutor, eliminate $1B in food waste and develop novel drugs for fighting cancer. To cap it off, at the end of 2024 Loka was recognized by AWS as Innovation Partner of the Year, outshining 150,000 partners for the title.

Our award-winning engineering work is driven by our Sales team—the team that we want you to lead.

We’re seeking a Head of Sales Operations to drive our revenue engine to the next level. In this role you will architect the operational backbone that connects our world-class Sales team with our elite Engineering teams. You'll build systems and processes that scale seamlessly from startup speed to enterprise precision, ensuring every client engagement launches flawlessly from first conversation to final deployment.

We count more than 200 certified specialists, technical experts and PhDs among our colleagues. We work entirely remotely, test new ideas with our in-house incubator LokaLabs™ and take every other Friday off (really).

If you're one of those rare leaders driven to transform how elite consulting teams operate at scale, consider Loka your optimal leverage point.

The Role

Lead and expand our existing sales operations by supporting a dynamic team of 5-6 sales professionals while building the foundation for aggressive growth.

Architect systems and processes that seamlessly connect sales pipeline to delivery excellence, ensuring our clients experience Loka's superlative execution from first conversation through project completion.

Drive daily coordination between sales and engineering operations on staffing, project logistics and resource allocation.

Build and lead proactive analytics and reporting that not only track what happened but also predict what's coming.

Scale operations as we expand our GenAI practice and grow our AWS partnership into new customer segments

Manage and grow a high-performing sales operations team, establishing career paths and mentoring future leaders.

Partner closely with leadership on strategic opportunities and data informed decisions as we scale and guide strategic decisions along the way.

Leadership Requirements

• 10+ years of progressive experience in sales operations, revenue operations or related functions with increasing responsibility and impact
• Proven management experience at director level or above, with demonstrated success building and scaling high-performing teams in fast-growth environments
• Systems architecture mindset with hands-on experience designing and implementing scalable revenue operations processes and technologies
• HubSpot expertise and experience with modern sales tech stack integration, reporting and optimization
• Cross-functional collaboration with internal stakeholders to ensure seamless execution
• Analytics and reporting mastery with ability to transform data into actionable insights that drive both tactical improvements and strategic decisions
• Scaling experience with proven success guiding company operations through significant growth phases
• Hands-on mindset, comfortable performing operational work in a fast-changing environment

Experience Profile

• Software-services experience preferred though exceptional candidates from SaaS, consulting or other technology sectors will be considered
• Startup-to-scale-up experience with comfort operating in ambiguous, fast-moving environments while building enterprise-grade processes
• Global or distributed team experience managing across time zones and cultures
• Client relations skills with ability to represent operational excellence in strategic client conversations

Personality Profile

Curiosity: You strive to learn and grow into different industries with a modern tech stack and ever-evolving client needs.

Autonomy and leadership: You thrive in a fully remote, globally distributed environment while driving results across multiple stakeholders.

Collaborative excellence: You enjoy building bridges between sales, engineering and delivery teams to create seamless client experiences.

Adaptability: You operate with a startup mindset and move at startup speed while building enterprise-quality processes.

Benefits

Every other Friday off (26 extra days off a year)

Remote-first and flexible schedule with access to offices in Portugal, North Macedonia and Colombia

Explorer and Relocate programs (three months abroad or full international relocation support)

Paid sick days and local holidays

Access to LokaLabs™, our internal R&D incubator where you can explore moonshot technologies

Mental wellness and physical fitness programs

Continuous learning support with yearly curiosity allowance

Additional Requirements

Excellent English. As a global team, we work entirely in English for meetings, customer calls and business communications.

CV submitted in English

Your achievements matter to us! Ensure your CV and LinkedIn profiles are up to date and accurately reflect your leadership experience and operational impact.

What this job can offer you

This is an exciting time to join Remote and make a personal difference in the global employment space as a Sales Development Representative (DACH), joining our Sales team.

What you bring

• Proven business development success through effective use of core sales tools (Knowledge of Salesforce, LinkedIn Sales Navigator, ZoomInfo is a plus)
• Good experience working as an SDR in a B2B SaaS Tech company
• Able to negotiate skilfully, promote/sell ideas persuasively
• Exceptional communication skills, both oral and written, coupled with excellent listening skills and a positive and energetic phone presence
• Able to think strategically and tactically. Able to maintain a positive attitude in the face of criticism, rejection, or failure
• Promotes a strong sense of urgency for reaching goals and key deliverables. Self Starter. proactive and brings new ideas to the team
• Extremely self-motivated with a diligent work ethic
• Demonstrated success in the below areas listed in key responsibilities
• Writes and speaks fluent English and German
• It's not required to have experience working remotely, but considered a plus

Key Responsibilities 

• Respond, engage and qualify outbound leads and inquiries
• Sourcing new sales prospects and reaching out to them to book appointments for Account Executives
• Clearly communicating Remote's value propositions to prospects and learning about their needs to see if there’s a good fit
• Providing support to Account Executive team as needed
• Be responsible for educating and developing prospects leading to hand-off to sales teams
• Create target prospects lists and penetrate key accounts
• Cold call into prospects generated by variety of outside sources
• Identify key players, researching and obtaining business requirements, and presenting solutions to begin sales cycle

Practicals

• You'll report to: Manager, Outbound Sales Development
• Team: Sales
• Location: EMEA
• Start date: As soon as possible

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce.  We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

The On-Target Earnings for this full-time position is between USD 31,500 to USD 70,950, the base salary is 70%. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

At Remote, we foster internal mobility as a key element of our culture of employee growth and development, supported by a compensation philosophy that guarantees pay equity and fairness. Therefore, all compensation changes associated with an internal move will be reviewed by the Total Rewards & People Enablement team on a case by case basis.

Application process

1. Interview with recruiter 
2. Interview with one of the SDR manager
3. Exercise + Mock Call with one of the SDR Manager
4. Bar Raiser Interview
5. Employment Verification Check

What this job can offer you

Sales helps our prospective customers and active customers to fully experience our Global HR Platform. Sales is the team responding to incoming queries and help customers understand how to maximise Remote’s full suite of products to meet their employment needs. To enable them to embody our value of Transparency, we have a fair price guarantee.

This is an exciting time to join Remote and make a personal difference in the global employment space as a Senior Account Executive, joining our Global Sales team supporting the France. This is a pure hunting role as a Senior Account Executive, driving net new business for Remote.

What you bring

• Proven success in building key customer relationships, including key decision makers and champions to be able to drive successful client outcomes, grow accounts and drive revenue outcomes
• High level of integrity and work ethic
• Self-motivated and self-directed; able to work independently and as an active member of the team
• Excellent in multitasking, prioritization, and time management
• In-depth knowledge of sales processes, demonstrated ability to qualify opportunities involving multiple key decision makers, initiate and convert prospects, close deals and achieve sales quota
• Aptitude and eagerness to form deep senior-level relationships across customer organizations with proven track record in working with small to large-sized companies and senior-level personas
• Extensive experience as an Account Executive or related SaaS sales experience preferred
• Strong problem-identification and objection-resolution skills
• Ability to confidently make cold calls to build pipelines
• Ability to build trust with a client and work as an advisor
• Demonstrated ability to forecast sales to achieve targets every month
• Experience with customer relationship management (CRM) tools
• Excellent customer service skills
• In-depth understanding of company services and its position in the industry
• Excellent verbal and written communication skills (English)
• Experience in the HR industry is a plus
• It's not required to have experience working remotely but considered a plus
• Fluent in French & English 

Key Responsibilities

• Create 'Land' opportunity deals that include detailed notes with accurate close dates
• Maintain a clean and current pipeline of volume-based, high-velocity opportunities
• Efficiently present and deliver all information to potential clients
• Proactively answer potential client questions and follow-up call questions in a prompt manner
• Internal collaboration and communication with key departments that support client process, experience, and support
• Close sales deals efficiently while kindly guiding clients through the process
• Provide proactive support and coaching to Account Executives in the team through their deal processes
• Meet and exceed sales quota based on role level and manage the entire sales cycle
• Identify new opportunities and manage the entire sales cycle from prospecting to close
• Understands the communication needs of small, mid-sized, and large business customers, and designs solutions to meet those unique business needs
• Self-generates leads by contacting prospective clients by telephone, cold call premise visits, networking, and industry events

Practicals

• You'll report to:  Manager, Sales (based on region)
• Team: EMEA, APAC, AMER Sales
• Location: Anywhere
• Start date: As soon as possible

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

The base salary range for this full-time position is between $44,150 USD to $99,400 USD. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

Application process

1. Interview with Recruiter
2. Interview with hiring manager (30 min)
3. Interview role play (45mins)
4. Interview with sales leader (30 min)

Data at GoCardless 

You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.

We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack. 

You will enjoy being an analyst at GoCardless if:

• You’re looking to champion a great data culture within GC and in the wider data community. 
• You enjoy collaborating and learning from people from various backgrounds and experiences. 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Python, Looker, Google Cloud Platform, dbt, Airflow, Vertrex and Jupyter amongst others.

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. 

The Role

At GoCardless we use marketing throughout the customer lifecycle to acquire new customers and drive revenue growth through our existing merchant base. As part of this role, you will be working closely across all marketing teams - paid, organic, lifecycle - to understand how their marketing efforts are helping to grow our merchant base and accelerate revenue. Your insights will be turned into actions as your expertise helps drive the future of GoCardless.

What excites you 

• Collaborate with Growth Marketing measuring how our Paid and Organic marketing strategies drive acquisition, engagement and revenue growth
• Partner with marketing stakeholders to define and monitor marketing KPIs and identify trends, risks and opportunities in customer and campaign data to inform strategy aligned with business objectives
• Assist marketing teams in A/B test design and execution and analysing results using statistical methods
• Ensure data quality, accuracy and consistency across all marketing sources
• Build data products that help to monitor the health of campaigns, continuously innovating on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Google Analytics), Automation (Python), AI (Gemini)).

What excites us  

Essentials:

• You have a background working in (performance) marketing analytics or a marketer looking for a more data focused role. 
• You have knowledge of common marketing measurement metrics, tools & methodology.
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the understanding, growth, and success of marketing campaigns
• You have experience with data visualisation tools and communicating findings from complex data sets in an accessible way
• You are proficient in basic SQL

Nice to have:

• A basic knowledge of Python/R is advantageous but not essential
• You have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.

Base salary range: €32,000 - €48,000 

Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

Data at GoCardless 

You’ll sit in our Data & Business Systems group and will work with technical and non-technical people across the whole company. You’ll collaborate closely with our team of talented Analysts, Data Scientists, ML/AI Engineers and System Admins, designing and delivering first-class analytics to the business.

We’re a large team with an extensive remit and expect every member to work with initiative and be driven, holding each other accountable and to a high standard. Joining our team, you’ll work in a team that strives to be the best they can be. You’ll work on complex projects across GC’s data & business systems stack. 

You will enjoy being an analyst at GoCardless if:

• You’re looking to champion a great data culture within GC and in the wider data community; 
• You enjoy collaborating and learning from people from various backgrounds and experiences; 
• You want to feel proud of the work you’re doing and its impact on real customers.

Our technologies: We endeavour to build simple, reliable systems and we believe in using the best technologies for each task. Technologies we use across GoCardless include: Looker, Domo, Tableau, Python, Looker, Google Cloud Platform, dbt, Airflow, Supermetrics & Demandbase amongst others.

You’re not expected to have expertise in all these technologies. Members of our team have picked up the tools once they’ve started working with the team. 

The Role

At GoCardless, we excel in experimentation to optimise user acquisition, activation, and retention through continuous discovery and data-driven decision making. As a Growth Analyst, you will partner across Growth, Commercial Strategy, and the wider Data & Business Systems team to design and deliver analytics that shape our self-serve business. You will be instrumental in evaluating performance across the full funnel — from acquisition to monetisation — and in generating insights that influence strategic decisions. 

What excites you 

• Shape commercial measurement across the funnel, collaborating with Growth Marketing, Sales, Commercial Finance and Product to track and evaluate how our acquisition, activation, and monetisation initiatives drive incremental customer and revenue growth.
• You will translate complex data into clear, actionable recommendations that inform go-to-market strategy, pricing, and self-serve optimisation
• Be responsible for defining how we understand return on investment & growth across growth initiatives 
• Proactively identify the biggest growth opportunities in our key channels by delivering deep analysis into customer segments, lifetime values (LTVs), diminishing returns etc and helping the team to prioritise and implement.
• Applying quantitative analysis, generate actionable insights and drive the adoption of your proposed changes in marketing by influencing stakeholders
• Continuously innovate on the practices and the tools we rely on to deliver the right insights at the right decision points (A/B Testing, Analysis (SQL), Visualisation (Looker, Domo), Tracking (Amplitude), Automation (Python), AI (Gemini, Claude)

What excites us  

• You bring strong analytical skills with experience linking data to revenue outcomes — whether through funnel analysis, cohort performance, pricing impact, or channel economics.
• You can distil complex analysis into clear recommendations for commercial and non-technical stakeholders, influencing strategy across Growth, Marketing, and Product.
• You have a bias for experimentation and discovery, always seeking ways to uncover new opportunities to improve acquisition, activation, retention, and monetisation.
• You have a background working in similar commercial analytics roles and have a deep understanding of the domain & and are very knowledgeable of growth strategies
• You are a self-starter, focused on results, with a demonstrated background in using analytics to drive the commercial strategy
• You have extensive experience owning and developing experiment processes, including running A/B tests, and have a very strong understanding of testing and experimental design
• You have extensive experience with data visualisation tools mentioned above and demonstrate storytelling ability with data in order to influence decision making and growth understanding
• You have advanced SQL skills and intermediate Python/R skills & have experience leveraging AI capabilities to enhance data analysis, automate tasks, and improve decision-making processes

We don’t expect you to meet every requirement. If you’re excited by this role, we encourage you to apply.

Base salary range: €41,600 - €62,400

Base salary ranges are based on role, job level, location, and market data.  Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work.

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 

The Opportunity

As a Staff Data Scientist at PandaDoc, you will serve as a senior analytical leader, embedding yourself deeply in our product and business data to uncover non-obvious insights and drive actionable recommendations. A primary focus of this strategic role is to champion and drive the organizational shift toward a data-driven culture. You will own the advancement of our experimentation capabilities, train other analysts and data scientists on causal methodologies, and leverage your expertise to provide leadership with a clear, reliable understanding of true impact and causality.

You will report to the Director of GTM Data and act as a strategic thought partner to Go-to-Market teams, Marketing, Product, Finance, Design, Engineering, and executive leadership, ensuring alignment between data insights and critical business decisions.

What You'll Do

Experimentation & Causal Strategy

• Lead the Experimentation Roadmap: Define, champion, and execute a strategic roadmap for measuring impact across PandaDoc, focusing on high-leverage business questions related to customer workflows, churn risk, and long-term value (LTV).
• Advanced Experiment Design: Design, implement, and rigorously analyze complex A/B tests, multivariate experiments, and adaptive experimentation methods, including the application of Bayesian experimentation, to assess the effectiveness of proposed product changes and business levers.
• Causal Inference Beyond A/B: Apply advanced causal inference techniques (e.g., difference-in-differences, synthetic control, propensity score matching, and instrumental variables) to scenarios where randomized controlled trials (RCTs) are infeasible.
• Deep Dive Analysis: Conduct complex, proactive, and exploratory analysis to discover latent user behavior, emerging trends, and root causes of changes in key metrics, translating these findings into actionable product and business insights.
• Develop Measurement Frameworks: Define, instrument, and govern a unified Key Performance Indicator (KPI) framework that maps low-level product health metrics to high-level business outcomes, ensuring consistent and scalable measurement across the organization.

Technical Leadership & Influence

• Scaling Data Science: Partner with Data Engineering to design and build scalable, self-serve experimentation tooling and reusable analytical assets and frameworks (e.g., causal machine learning models) that empower other analysts and data consumers.
• Strategic Influence: Act as a strategic thinker by translating complex statistical findings into clear, compelling, and actionable business narratives for cross-functional partners and senior leadership (VP/C-suite), driving strategic decisions and investment priorities.
• Mentorship and Training: Serve as a technical subject matter expert, training and mentoring junior and mid-level data scientists on best practices in statistical rigor, experimental design, and causal modeling.

About You

Qualifications

• Experience: 6+ years of professional experience in an applied data science, economics, or product analytics role, with a proven track record of leveraging experimentation and causal inference methods to drive significant business impact.
• Education: B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline. A Master’s degree in a quantitative field (e.g., Statistics, Data Science, Econometrics, Operations Research) is preferred, but not required.

Required Technical Expertise

• Causal Inference: Demonstrated expertise in applying a wide range of Causal Inference methods, e.g. Quasi-Experimentation, Matching Methods (PSM), Difference-in-Differences, and/or Instrumental Variables.
• Experimentation Methodologies: Expertise in advanced statistical methodologies for A/B testing, including sample size calculations, sequential testing, dealing with interference/network effects, variance reduction techniques (e.g., CUPED), etc.
• Deep Analytical Methods: Mastery of advanced statistical modeling, time-series analysis, and quantitative methods necessary to perform thorough exploratory data analysis, produce timely insights, and provide actionable recommendations.
• Programming: Advanced proficiency in Python or R for statistical modeling, with experience using relevant data science packages (e.g., SciKit-Learn, numpy, pandas).
• Data Tools: Expert-level proficiency in SQL and experience working with established data warehouses (e.g., Snowflake, Postgres).
• Data Pipelining: Experience with data transformation and workflow management tools such as dbt, Airflow, or Databricks is a strong plus.

Key Attributes

• Strategic Communication & Influence: Possesses exceptional communication, presentation, and data storytelling skills with a consistent record of influencing cross-functional partners and leadership at all levels, particularly in navigating and driving consensus in unstructured or ambiguous environments.
• Change Management: Proven ability to drive organizational change management in environments where experimentation and data-driven decision-making are not yet widely adopted.
• Thrive in ambiguity: Ability to navigate significant ambiguity, translate complex business questions into clear analytical frameworks, and manage multiple competing priorities in a fast-paced environment.
• Relevant Experience: Experience in a SaaS domain and a strong focus on Product Data Science are strongly preferred.

Company Culture: 

• We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
• Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 
• Check out our LinkedIn to learn more. 

Benefits:

• Our benefits include tremendous career growth opportunities, a competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans, and of course, a fun team of Pandas to work with!

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

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 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 

About the Team

The IT team is responsible for the internal systems, tooling, and support that keep Typeform running smoothly day to day. We work across identity and access, endpoint management, service management, SaaS administration, and employee productivity tooling.

This team partners closely with Security, People, Finance, Product Operations, and R&D to make sure Typeformers have secure, reliable, and well-governed systems. As Typeform continues to invest in AI-enabled ways of working, IT also plays an important role in preparing the internal infrastructure, workflows, and operational foundations that make safe AI adoption possible.

About the Role

We’re looking for an IT Engineer (Contractor) to strengthen our day-to-day IT Infrastructure and service operations.

This role focuses on execution, reliability, and operational ownership. You’ll act as a dependable escalation point for complex issues, maintain core systems, and improve workflows that reduce manual effort and increase service quality.

This is a hands-on role where success is measured by stability, responsiveness, and the ability to keep systems running smoothly while improving how work gets done.

Things you will do:

• Act as an escalation point for IT Support, resolving complex incidents and requests while ensuring SLOs and OLAs are met
• Maintain and administer core SaaS platforms including Okta, Atlassian, Google Workspace, Jamf, and Intune
• Execute and improve user lifecycle workflows (onboarding, offboarding, access management)
• Support and optimize Jira Service Management workflows, SLAs, and asset data
• Maintain accuracy of asset and license data across systems such as Torii, Jamf, and Firstbase
• Monitor system health and perform regular maintenance, updates, and improvements
• Deliver small-to-medium changes, configuration updates, and improvements with a focus on low risk and clear communication
• Create and maintain clear, structured documentation in Notion for support processes and runbooks
• Analyze support trends and ticket data to identify friction and propose practical improvements
• Implement workflow improvements and automation to reduce repetitive tasks
• Support the preparation of systems and documentation for AI-assisted IT workflows
  
  

What you already bring to the table:

• Experience in Corporate IT, Internal IT, or Systems Engineering in a SaaS or technology company
• Strong experience with identity and access management (Okta or similar)
• Experience managing endpoints, ideally macOS environments with Jamf (and/or Intune for Windows)
• Experience administering SaaS tools such as Google Workspace and Atlassian
• Solid ITSM foundations (incident, request, and change management)
• Experience working with service desk platforms, ideally Jira Service Management
• Strong troubleshooting skills across identity, endpoints, and SaaS applications
• Experience improving workflows through automation, integrations, or process improvements
• Strong communication skills and ability to work effectively with cross-functional stakeholders
• A structured, reliable approach to operational work and ownership of outcomes
  
  

Extra awesome:

• Experience optimizing Jira Service Management (workflows, SLAs, asset schemas)
• Experience with HRIS integrations (e.g., HiBob to Okta) and user lifecycle design
• Familiarity with documentation frameworks in tools like Notion
• Scripting experience (Python, Bash, PowerShell) for automation and integrations
• Experience improving asset management, endpoint hygiene, or SaaS governance
• Exposure to AI-assisted workflows or automation in IT environments

About the Team

The IT team is responsible for the internal systems, tooling, and support that keep Typeform running smoothly day to day. We work across identity and access, endpoint management, service management, SaaS administration, and employee productivity tooling.

This team partners closely with Security, People, Finance, Product Operations, and R&D to make sure Typeformers have secure, reliable, and well-governed systems. As Typeform continues to invest in AI-enabled ways of working, IT also plays an important role in preparing the internal infrastructure, workflows, and operational foundations that make safe AI adoption possible.

About the Role

We’re looking for a Senior IT Engineer to help strengthen the infrastructure and service management foundations behind Typeform’s internal operations.

This role is a mix of systems ownership, operational excellence, and workflow improvement. You’ll take on complex infrastructure and ITSM work, improve how our internal tools are managed, and reduce manual effort through automation and better process design. You’ll also help shape how IT supports the company’s move toward more AI-enabled productivity.

This is a strong fit for someone who enjoys improving internal systems at a structural level, is comfortable operating across a broad SaaS stack, and wants to make internal technology more reliable, secure, and scalable.

Things you will do:

• Own and resolve complex IT Infrastructure incidents and service requests, acting as an escalation point for IT Support and helping ensure SLOs and OLAs are met
• Administer, maintain, and improve core internal platforms including Okta, Atlassian, Google Workspace, Microsoft 365, Jamf, Intune, HiBob, Torii, Jira Service Management, and 1Password
• Design and implement automations for onboarding, offboarding, access management, device management, and other internal IT workflows
• Improve the IT service management foundation, including workflows, SLAs, asset data quality, service operations, and knowledge management
• Strengthen the quality and reliability of asset and license management data across systems such as Torii, Jamf, Intune, and Firstbase
• Contribute to internal IT projects such as migrations, upgrades, systems changes, and operational improvements with a focus on low-risk execution and clear communication
• Create and maintain clear, useful, AI-consumable documentation in Notion, including runbooks, troubleshooting guides, and architectural context
• Partner with stakeholders across Security, People, Finance, Product Operations, and R&D to assess risk, improve tooling, and support scalable internal operations
• Identify high-value opportunities to reduce toil, improve service quality, and introduce safe AI-assisted workflows in IT

What you already bring to the table:

• Several years of experience in Corporate IT, Internal IT, Systems Engineering, or a similar hands-on role in a modern SaaS or technology company
• Strong experience with identity and access management, ideally with Okta administration
• Strong experience with device management and endpoint operations across macOS and Windows, ideally using Jamf and Intune
• Experience administering a broad SaaS environment and owning internal systems beyond frontline support
• Solid ITSM foundations, including incident, request, change, and problem management in a practical SaaS environment
• Experience working with service desk and service management platforms, ideally Jira Service Management
• Strong troubleshooting skills across identity, endpoints, applications, and general corporate infrastructure
• Experience improving workflows through automation, integrations, APIs, webhooks, or low-code tooling
• Strong written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders
• A high level of ownership, good judgment, and a structured approach to problem-solving

Extra awesome:

• Advanced Atlassian or Jira Service Management experience, including workflow design, asset schemas, or service operations optimization
• Experience with HRIS to IT integrations such as HiBob to Okta and broader user lifecycle design
• Experience improving documentation systems and knowledge frameworks in tools like Notion
• Scripting experience in Python, Bash, or PowerShell for automation, reporting, or systems integration
  
  

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

The Opportunity

As a Staff Data Scientist at PandaDoc, you will serve as a senior analytical leader, embedding yourself deeply in our product and business data to uncover non-obvious insights and drive actionable recommendations. A primary focus of this strategic role is to champion and drive the organizational shift toward a data-driven culture. You will own the advancement of our experimentation capabilities, train other analysts and data scientists on causal methodologies, and leverage your expertise to provide leadership with a clear, reliable understanding of true impact and causality.

You will report to the Director of Product Data and act as a strategic thought partner to Product, Finance, Design, Engineering, Product Marketing, and executive leadership, ensuring alignment between data insights and critical business decisions.

What You'll Do

Experimentation & Causal Strategy

• Lead the Experimentation Roadmap: Define, champion, and execute a strategic roadmap for measuring impact across PandaDoc, focusing on high-leverage business questions related to customer workflows, churn risk, and long-term value (LTV).
• Advanced Experiment Design: Design, implement, and rigorously analyze complex A/B tests, multivariate experiments, and adaptive experimentation methods, including the application of Bayesian experimentation, to assess the effectiveness of proposed product changes and business levers.
• Causal Inference Beyond A/B: Apply advanced causal inference techniques (e.g., difference-in-differences, synthetic control, propensity score matching, and instrumental variables) to scenarios where randomized controlled trials (RCTs) are infeasible.
• Deep Dive Analysis: Conduct complex, proactive, and exploratory analysis to discover latent user behavior, emerging trends, and root causes of changes in key metrics, translating these findings into actionable product and business insights.
• Develop Measurement Frameworks: Define, instrument, and govern a unified Key Performance Indicator (KPI) framework that maps low-level product health metrics to high-level business outcomes, ensuring consistent and scalable measurement across the organization.

Technical Leadership & Influence

• Scaling Data Science: Partner with Data Engineering to design and build scalable, self-serve experimentation tooling and reusable analytical assets and frameworks (e.g., causal machine learning models) that empower other analysts and data consumers.
• Strategic Influence: Act as a strategic thinker by translating complex statistical findings into clear, compelling, and actionable business narratives for cross-functional partners and senior leadership (VP/C-suite), driving strategic decisions and investment priorities.
• Mentorship and Training: Serve as a technical subject matter expert, training and mentoring junior and mid-level data scientists on best practices in statistical rigor, experimental design, and causal modeling.

About You

Qualifications

• Experience: 6+ years of professional experience in an applied data science, economics, or product analytics role, with a proven track record of leveraging experimentation and causal inference methods to drive significant business impact.
• Education: B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline. A Master’s degree in a quantitative field (e.g., Statistics, Data Science, Econometrics, Operations Research) is preferred, but not required.

Required Technical Expertise

• Causal Inference: Demonstrated expertise in applying a wide range of Causal Inference methods, e.g. Quasi-Experimentation, Matching Methods (PSM), Difference-in-Differences, and/or Instrumental Variables.
• Experimentation Methodologies: Expertise in advanced statistical methodologies for A/B testing, including sample size calculations, sequential testing, dealing with interference/network effects, variance reduction techniques (e.g., CUPED), etc.
• Deep Analytical Methods: Mastery of advanced statistical modeling, time-series analysis, and quantitative methods necessary to perform thorough exploratory data analysis, produce timely insights, and provide actionable recommendations.
• Programming: Advanced proficiency in Python or R for statistical modeling, with experience using relevant data science packages (e.g., SciKit-Learn, numpy, pandas).
• Data Tools: Expert-level proficiency in SQL and experience working with established data warehouses (e.g., Snowflake, Postgres).
• Data Pipelining: Experience with data transformation and workflow management tools such as dbt, Airflow, or Databricks is a strong plus.

Key Attributes

• Strategic Communication & Influence: Possesses exceptional communication, presentation, and data storytelling skills with a consistent record of influencing cross-functional partners and leadership at all levels, particularly in navigating and driving consensus in unstructured or ambiguous environments.
• Change Management: Proven ability to drive organizational change management in environments where experimentation and data-driven decision-making are not yet widely adopted.
• Thrive in ambiguity: Ability to navigate significant ambiguity, translate complex business questions into clear analytical frameworks, and manage multiple competing priorities in a fast-paced environment.
• Relevant Experience: Experience in a SaaS domain and a strong focus on Product Data Science are strongly preferred.

Company Culture: 

• We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.
• Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 
• Check out our LinkedIn to learn more. 

Benefits:

• Our benefits include tremendous career growth opportunities, a competitive salary, health and commuter benefits, company paid life & disability, 20+ PTO days, 401K and FSA plans, and of course, a fun team of Pandas to work with!

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

With thousands of active lots every day, hundreds of thousands of daily bids, millions of users, and billions of events, the Catawiki platform generates vast amounts of data. We collect and store this data, and use it extensively to build a better company by making smarter decisions. The Data Science & Insights team plays a central role in that.

We are looking for a Data Scientist - Commercial Insights to work with our Commercial teams (primarily marketing and supply) and leverage data to identify commercial opportunities from understanding the marketplace balance of the platform to scaling the demand/offering in a given category.

You will be part of the Data Science & Insights team helping us make sense of our data, finding actionable insights and creating self-service opportunities by combining data from multiple sources and working closely together with your colleagues in other departments.

In this role, no two days will be the same: you will build ad hoc analyses, design and analyse commercial activations, uncover trends in user behaviour, communicate about the impact of a new initiative or enhance the reliability of our data pipelines. Whatever the task, you’ll play a pivotal role in shaping Catawiki’s commercial strategy and influencing our stakeholders.

What You’ll Do 

• Own analytics for a commercial area – At Catawiki, you’ll take full ownership of a major part of the commercial strategy. This could mean leading analytics for all demand scaling initiatives in marketing or everything related to increasing supply in a given category. You’ll build strong partnerships with stakeholders and proactively come up with recommendations to drive revenue growth.
• Turn data into insights and recommendations – You’ll go beyond tracking metrics—you’ll define and refine key success measures, uncover trends, and translate data into clear recommendations. Your insights will help shape commercial decisions, flag opportunities, and drive the strategy forward.
• Drive advanced analytics at scale – You’ll use methods like regression analysis, causal inference, and scenario testing to understand buyer and seller needs and help commercial teams make faster, better decisions to scale demand and supply.

Who You Are

• Commercially minded data leader – You have a strong quantitative background and 3+ years of experience in Data Science or Analytics, ideally in an online company. You’re comfortable owning complex projects and influencing stakeholders with clear, pragmatic recommendations focused on commercial impact and value.
• Advanced technical skills – You're highly proficient in SQL and experienced in writing code to transform data into insights, whether in Python, R, or another language. You can handle large datasets, optimize data pipelines, and work with tools like Looker Studio, Tableau, Power BI, and data transformation tools like dbt or Dataform.
• Deep statistical expertise – You have a strong grasp of statistics and apply advanced techniques like regression analysis, causal inference, time series modeling, and hypothesis testing to extract meaningful insights and drive impact.
• Proactive and entrepreneurial mindset – You take ownership, solve problems autonomously, and drive initiatives forward—even when it means stepping outside your comfort zone.
• Strong communicator and mentor – You work effectively with leadership, engineers, and product teams, translating complex data insights into clear recommendations. You also enjoy mentoring junior data scientists and fostering a data-driven culture.

Where You’ll Be 

This role is a hybrid role based in our Amsterdam or Lisbon office.

About the Role
We are seeking a highly organized and proactive CRM Project Manager to join our growing CRM department. This role supports a Senior CRM Project Manager and plays a key part in driving structure, operational excellence, and cross-team alignment within a fast-paced iGaming environment. You will oversee CRM-related projects end-to-end, ensure process clarity, maintain smooth communication flows, and help the team execute efficiently. This position is ideal for someone who thrives in dynamic environments, takes ownership, and is eager to influence operational improvements.

Locations:

This position will require relocation to Lisbon, Portugal.

Job Type:
Office, on-site

Responsibilities
 • Support full-cycle management of CRM projects, including planning, execution, monitoring, and delivery.
 • Maintain and improve existing operational processes and contribute to creating new ones to increase team efficiency.
 • Manage task tracking, Jira boards, workflows, priorities, and SLAs.
 • Coordinate cross-functional collaboration between CRM, Marketing, R&D, Analytics, Security, and other departments.
 • Lead meetings, gather requirements, document key decisions, and ensure follow-up actions are clearly defined.
 • Prepare and maintain project documentation, onboarding materials, process guidelines, and knowledge bases in Confluence.
 • Collect, analyze, and structure information for decision-making and project reporting.
 • Support onboarding of new team members and contribute to team training materials.
 • Assist in preparing reports, presentations, and structured summaries for management and stakeholders.
 • Contribute to building organizational clarity by reducing project fragmentation, improving prioritization, and ensuring alignment between management goals and execution.
 • Troubleshoot operational bottlenecks and proactively resolve issues before they escalate.

Qualifications
 • Proven experience as a Project Manager within digital, CRM, marketing, or tech-driven environments; experience in iGaming is a strong advantage.
 • Proficiency in Agile methodologies including Scrum and Kanban.
 • Strong experience with operational and project management tools (Jira, Confluence, Slack, Miro, Google Workspace).
 • Ability to structure complex information, manage multiple workstreams, and maintain clarity in fast-paced environments.
 • Strong communication skills with experience working alongside cross-functional teams.
 • Ability to run meetings, document decisions, create action plans, and coordinate delivery.
 • Experience preparing documentation, onboarding materials, reports, and presentations.
 • Comfortable working in environments with high context switching and evolving priorities.
 • English proficiency at B2 level or higher.

Competencies
 • High ownership mentality and strong accountability.
 • Exceptional organizational and prioritization skills.
 • Detail-oriented mindset with the ability to dive deep into processes.
 • Proactive problem-solving and “fire-fighting” capabilities when managing critical issues.
 • Strong teamwork and stakeholder-management skills.
 • Ability to bring structure to chaotic environments and drive process improvements.
 • Strong initiative: ability to push projects forward and ensure execution clarity.

Who we are

At Fluxon, we believe that how you build matters as much as what you build. We help businesses navigate their most important technology decisions with confidence, and take responsibility for seeing them through. Founded by ex-Googlers and startup veterans, we’re proud to partner with teams behind some of the most ambitious products, including Google, OpenAI, Anthropic, Walmart and Stripe. 

Our work spans strategy, design, and engineering — often in complex, AI-driven environments — where clarity, speed and quality are the standard. We use AI intentionally, applying it only where it adds real value and expands what’s possible. Care shapes everything we do.

Inside Fluxon, you’ll find a global, remote-first team of experienced builders, who are curious, kind and serious about their craft. We’re building a place where people can take ownership, solve problems that matter and do work they’re proud to stand behind. If you want to do your best work alongside people who care as much as you do, you’ll feel at home here.

The role is open to candidates preferably based in Lisbon, Portugal.

About the role

As an AI Engineer at Fluxon, you’ll take the lead in designing, building and deploying AI-powered applications for our clients.

You'll be responsible for:

• System Architecture: Design and implement end-to-end AI systems and their parts, including data ingestion, preprocessing, model inference, and output structuring
• Generative AI Development: Build and optimize RAG (Retrieval-Augmented Generation) systems and Agentic workflows using frameworks like LangChain, LangGraph, ADK (Agent Development Kit), Genkit
• Production Engineering: Deploy models to production environments (AWS/GCP/Azure) using Docker and Kubernetes, ensuring high availability and scalability
• Evaluation & Monitoring: Implement feedback loops to evaluate model performance (accuracy, hallucinations, relevance) and set up monitoring for drift in production
• Collaboration: Work closely with other engineers to integrate AI endpoints into the core product and with product managers to define AI capabilities
• Model Optimization: Fine-tune open-source models (e.g., Llama, Mistral) for specific domain tasks and optimize them for latency and cost

You'll work with technologies including:

Languages

• Python (Preferred)
• Java / C++ / Scala / R / JavaScript   

AI / ML

• LangChain
• LangGraph
• Google ADK
• Genkit
• OpenAI API
• LLM - Large Language Model
• Vertex AI

Cloud & Infrastructure

• Platforms: Google Cloud Platform (GCP) or Amazon Web Services (AWS)
• Storage: Google Cloud Storage (GCS) or AWS S3
• Orchestration: Temporal, Kubernetes

Data Stores

• PostgreSQL
• Firestore
• MongoDB

Monitoring & Observability

• GCP Cloud Monitoring Suite

Qualifications

• 5+ years of industry experience in software engineering roles
• Strong proficiency in Python or any preferred AI programming language such as Scala, Javascript and Java
• Strong understanding of Transformer architectures, embeddings, and vector similarity search
• Experience integrating with LLM provider APIs (OpenAI, Anthropic, Google Vertex AI)
• Hands-on experience with agent workflows like LangChain, LangGraph
• Experience with Vector Databases and traditional SQL / NoSQL databases
• Familiarity with cloud platforms, preferably GCP or AWS
• Understanding of patterns like RAG (Retrieval-Augmented Generation), few-shot prompting, and Fine-Tuning
• Solid understanding of software development practices including version control (Git) and CI/CD

Nice to have:

• Experience with Google Cloud Platform (GCP) services, specifically Vertex AI, Firestore, and Cloud Functions
• Knowledge of prompt engineering techniques (Chain-of-Thought, ReAct, Tree of Thoughts)
• Experience building "Agentic" workflows where AI can execute tools or API calls autonomously

What we offer

• Remote-first, flexible work with a budget to set up a work space that works for you
• Localized healthcare coverage to support you and your family’s wellbeing
• Flexible paid time off with a minimum of 3 weeks per year (plus holidays)
• "No internal meetings" Fridays, so you can focus on deep, uninterrupted work
• A professional growth budget for learning that matters to you –  whether it’s developing your technical skills or learning a new language
• A monthly wellness allowance to support your physical and mental health
• Annual company offsites, where we gather in person to build meaningful connections
• A competitive salary that reflects your expertise, impact and experience
• Profit-sharing, so you can benefit directly from the value we build together
• A paid sabbatical program, designed for rest, renewal and fresh perspective

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role:

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned editor or creator within the data and AI space with proven experience in creating, editing, and delivering written or video-based technical data and AI tutorials. You’ll be responsible for working with a network of freelance creators to scale DataCamp’s blog and YouTube channels.

You will collaborate closely with a team of editors, marketers, data evangelists, product marketing managers, SEO experts, and the broader commercial marketing team to drive organic traffic via our blog and tutorial pages. Through these efforts, you will help amplify and share free and valuable educational content for DataCamp’s audience of learners and data practitioners.

We’re excited about you because you have the following:

• You have a strong understanding of data science, AI, cloud, or/and data engineering and can write on technical subjects in the data space yourself. You can provide multiple relevant examples of your writing and/or editing work.
• Detailed knowledge of at least one programming language (Python, R, SQL, etc.) or Business Intelligence tool (Tableau, Power BI, etc.) 
• You score yourself in the top 5% regarding attention to detail. Typos and incorrect grammar are your worst enemies. 
• You can effectively use AI tools for content creation and workflow automation — without sacrificing truthfulness and quality.

If that sounds like you, we’d love to meet you.

We’re even more excited about you if you have the following:

• Strong data engineering and/or cloud expertise.
• Previous experience as a data scientist, developer, or technical expert.
• Demonstrable experience delivering meaningful organic growth via editorial content.
• Knowledge of SEO best practices and how they are evolving.

Responsibilities:

This is an individual contributor role—you will be expected to recruit, lead, and grow our stable of expert freelancers, manage contracts and payments, assign them technical content, edit their work, and more. Here is what your day-to-day will look like:

• Deliver high-quality written and video-based tutorials on data science, AI, analytics, business intelligence, data engineering, cloud, and more.
• Write content briefs that guide freelancers to create content that provides value for DataCamp’s community of learners. 
• Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities.
• Edit the work of freelancers and ensure that content is ready to be published in a timely manner.
• Combine SEO keyword analysis with a deep understanding of the data and AI space to iterate and improve the content we create.
• Your targets for 2026 are maintaining a robust editorial calendar, delivering 25 new articles and 4 new videos per month, while ensuring freelancers adhere to quality standards and deadlines.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting Challenges – Tackle some of the most important educational challenges in Data & AI.
• Competitive Compensation – We offer a competitive salary with attractive benefits.
• Work Flexibility – Benefit from flexible working hours and a remote-friendly culture.
• Professional Growth – Access to a yearly learning & development budget.
• Global Culture – Join a team that values international collaboration and retreats.
• Tools & Setup – Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

At DataCamp, we value diverse experiences and perspectives. If you’re excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role:

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned editor or creator within the data and AI space with proven experience in creating, editing, and delivering written or video-based technical data and AI tutorials. You’ll be responsible for working with a network of freelance creators to scale DataCamp’s blog and YouTube channels.

You will collaborate closely with a team of editors, marketers, data evangelists, product marketing managers, SEO experts, and the broader commercial marketing team to drive organic traffic via our blog and tutorial pages. Through these efforts, you will help amplify and share free and valuable educational content for DataCamp’s audience of learners and data practitioners.

We’re excited about you because you have the following:

• You have a strong understanding of data science, AI, cloud, or/and data engineering and can write on technical subjects in the data space yourself. You can provide multiple relevant examples of your writing and/or editing work.
• Detailed knowledge of at least one programming language (Python, R, SQL, etc.) or Business Intelligence tool (Tableau, Power BI, etc.) 
• You score yourself in the top 5% regarding attention to detail. Typos and incorrect grammar are your worst enemies. 
• You can effectively use AI tools for content creation and workflow automation — without sacrificing truthfulness and quality.

If that sounds like you, we’d love to meet you.

We’re even more excited about you if you have the following:

• Strong data engineering and/or cloud expertise.
• Previous experience as a data scientist, developer, or technical expert.
• Demonstrable experience delivering meaningful organic growth via editorial content.
• Knowledge of SEO best practices and how they are evolving.

Responsibilities:

This is an individual contributor role—you will be expected to recruit, lead, and grow our stable of expert freelancers, manage contracts and payments, assign them technical content, edit their work, and more. Here is what your day-to-day will look like:

• Deliver high-quality written and video-based tutorials on data science, AI, analytics, business intelligence, data engineering, cloud, and more.
• Write content briefs that guide freelancers to create content that provides value for DataCamp’s community of learners. 
• Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities.
• Edit the work of freelancers and ensure that content is ready to be published in a timely manner.
• Combine SEO keyword analysis with a deep understanding of the data and AI space to iterate and improve the content we create.
• Your targets for 2026 are maintaining a robust editorial calendar, delivering 25 new articles and 4 new videos per month, while ensuring freelancers adhere to quality standards and deadlines.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting Challenges – Tackle some of the most important educational challenges in Data & AI.
• Competitive Compensation – We offer a competitive salary with attractive benefits.
• Work Flexibility – Benefit from flexible working hours and a remote-friendly culture.
• Professional Growth – Access to a yearly learning & development budget.
• Global Culture – Join a team that values international collaboration and retreats.
• Tools & Setup – Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

At DataCamp, we value diverse experiences and perspectives. If you’re excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!

About DataCamp

DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.

About the role:

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned editor or creator within the data and AI space with proven experience in creating, editing, and delivering written or video-based technical data and AI tutorials. You’ll be responsible for working with a network of freelance creators to scale DataCamp’s blog and YouTube channels.

You will collaborate closely with a team of editors, marketers, data evangelists, product marketing managers, SEO experts, and the broader commercial marketing team to drive organic traffic via our blog and tutorial pages. Through these efforts, you will help amplify and share free and valuable educational content for DataCamp’s audience of learners and data practitioners.

We’re excited about you because you have the following:

• You have a strong understanding of data science, AI, cloud, or/and data engineering and can write on technical subjects in the data space yourself. You can provide multiple relevant examples of your writing and/or editing work.
• Detailed knowledge of at least one programming language (Python, R, SQL, etc.) or Business Intelligence tool (Tableau, Power BI, etc.) 
• You score yourself in the top 5% regarding attention to detail. Typos and incorrect grammar are your worst enemies. 
• You can effectively use AI tools for content creation and workflow automation — without sacrificing truthfulness and quality.

If that sounds like you, we’d love to meet you.

We’re even more excited about you if you have the following:

• Strong data engineering and/or cloud expertise.
• Previous experience as a data scientist, developer, or technical expert.
• Demonstrable experience delivering meaningful organic growth via editorial content.
• Knowledge of SEO best practices and how they are evolving.

Responsibilities:

This is an individual contributor role—you will be expected to recruit, lead, and grow our stable of expert freelancers, manage contracts and payments, assign them technical content, edit their work, and more. Here is what your day-to-day will look like:

• Deliver high-quality written and video-based tutorials on data science, AI, analytics, business intelligence, data engineering, cloud, and more.
• Write content briefs that guide freelancers to create content that provides value for DataCamp’s community of learners. 
• Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities.
• Edit the work of freelancers and ensure that content is ready to be published in a timely manner.
• Combine SEO keyword analysis with a deep understanding of the data and AI space to iterate and improve the content we create.
• Your targets for 2026 are maintaining a robust editorial calendar, delivering 25 new articles and 4 new videos per month, while ensuring freelancers adhere to quality standards and deadlines.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team:

• Exciting Challenges – Tackle some of the most important educational challenges in Data & AI.
• Competitive Compensation – We offer a competitive salary with attractive benefits.
• Work Flexibility – Benefit from flexible working hours and a remote-friendly culture.
• Professional Growth – Access to a yearly learning & development budget.
• Global Culture – Join a team that values international collaboration and retreats.
• Tools & Setup – Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

At DataCamp, we value diverse experiences and perspectives. If you’re excited about this role but don't meet every qualification, we still encourage you to apply. We believe skills can be developed and are committed to fostering an inclusive workplace where everyone can thrive. Your unique talents and perspectives are what make our team great!

Site Reliability Engineers (SREs) are essential to PandaDoc's success, ensuring customers receive a reliable service with minimal downtime.

The SRE team achieves this by:

• Owning the incident management processes and tools.
• Managing the observability stack and alerting systems to enable timely investigation and mitigation.
• Actively contributing to service codebases to proactively prevent incidents and resolve performance bottlenecks.

In essence, SREs are the cornerstone of production service resiliency, driving efforts in observability, incident management, capacity planning, and maintaining reliable operations. 

In this role, you will:

• Own and influence the incident management process end-to-end
• Maintain and evolve on-prem observability stack
• Keep production applications running smoothly by participating in the on-call rotation
• Develop automations and tools to support platform reliability
• Contribute to production services with performance and resiliency in mind
• Collaborate with product engineers to foster SRE principles within the R&D organization
• Be a mentor for the SRE team or product engineers

About you:

• Solid programming experience, namely Python (Django and AsyncIO)  and/or Java (Spring Boot)
• Experience in maintaining an observability tools suite (specifically, LGTM - Loki, Grafana, Tempo, Mimir)
• Experience in development and maintenance of Python services in production
• Strong experience with AWS and Kubernetes
• Solid proficiency in working with relational databases (PostgreSQL) and messaging systems (e.g. RabbitMQ, NATS, Kafka)
• An experienced on-call SRE engineer 
• Enjoy hands-on troubleshooting of distributed systems in production environments
• You act like an owner and strive to do work you're proud of
• You enjoy communication and knowledge sharing on all-things reliability
• Proficiency in English, both written and spoken

Company Overview: 

PandaDoc empowers more than 67,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more.  For more information, please visit https://www.pandadoc.com.

Company Culture: 

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. 

Check out our LinkedIn to learn more.

Benefits:

• Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
• We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters).
• Work schedule aligned with EU time zones.
• Honest, open culture that values constructive feedback.
• Professional and personal development within a collaborative, supportive team.
• Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS

Approval Requirement

The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.