Senior Talent Acquisition Partner - Americas

🏢 Summary: Enterprise Account Executive role focused on driving new business across the Americas by selling AML and crypto compliance SaaS solutions to enterprise clients in the crypto and financial services sectors. The position owns the full sales cycle, from prospecting to closing, targeting banks, fintechs, payments firms, and crypto-native companies. This is a quota-carrying role requiring deep knowledge of digital assets, complex B2B sales, and enterprise deal management. 🗂️ Requirements: 5+ years B2B Enterprise sales experience in Crypto, FinTech, or SaaS, Experience selling AML or compliance solutions to FinTechs or financial institutions, Proven track record of meeting or exceeding enterprise sales quotas, Experience managing 6–12 month sales cycles including RFI/RFP processes, Experience selling to C-Suite stakeholders, Strong network in the Digital Assets or Crypto ecosystem, Experience selling into the Americas market, Knowledge of financial services, capital markets, and asset management sectors, Use of structured sales methodologies (e.g., MEDDICC), Experience using CRM and sales prospecting tools 📃 Skills: SaaS, AML, Compliance, FinTech, Crypto, MEDDICC, HubSpot, LinkedIn, ChatGPT, Claude, Gemini, CRM 🏢 Description: Are you passionate, enthusiastic, and looking for an opportunity to grow your career in sales? Are you looking for your next challenge in an emerging and exciting market? If yes then we want to hear from you! The impact you will have: You will join our global sales team reporting to our Regional Sales Director helping us win new customers across the Americas. As an Enterprise Account Executive, you will become an expert in our products, how our customers use our tools and what makes our solutions uniquely capable to solve their most complex challenges. With this knowledge, you’ll help prospective customers understand how we can protect them from complex crypto crimes in a scalable, efficient and highly automated manner. You will manage the full sales cycle including sourcing and qualifying leads, prospecting, conducting demos, developing proposals, negotiating terms and closing business to ultimately deliver profitable revenue growth and exceed your targets. You will be targeting Enterprise businesses in the Crypto and Financial Services space, including banks, payments firms and crypto-native companies. You will have some predefined accounts to target and will also identify and develop new opportunities. What you’ll do: - Identify and open doors to Enterprise prospective accounts across your territory - Own, build and implement scalable sales strategies for acquiring new accounts - Showcase the product through tailored presentations and demos - Manage commercial discussions including negotiating terms and closing business - Attend and travel to customer meetings and/or events as required - Use technologies like HubSpot, LinkedIn and other tools to achieve goals and forecast accurately - Meet and exceed quotas - Work cross-functionally to share feedback and support sustainable growth You will be a great fit if you: - Work in digital assets or adjacent segments with a strong network in AML, Risk, Fraud, Compliance and SaaS - Have a background in AML or compliance sales to FinTechs - Have strong knowledge of financial services, capital markets and asset management - Are a self-starter, adaptable and comfortable with ambiguity - Use defined sales methodologies such as MEDDICC - Understand complex B2B sales methodologies - Have AI fluency with ChatGPT, Claude, Gemini or similar tools Our ideal candidate has: - 5+ years experience in B2B Crypto, FinTech or SaaS Enterprise sales - Demonstrated track record of hitting targets and building pipeline through solution selling - Experience selling into the Americas market - Experience managing 6–12 month sales cycles involving RFI/RFPs - Experience selling to C-Suite stakeholders - Strong network in the Digital Asset space - Entrepreneurial mindset and resilience - Passion for digital assets and the crypto economy Job Benefits How we work: - Hybrid working with the option to work from almost anywhere for up to 90 days per year - $650 remote work budget for home office setup Learning & Development: - $1,000 annual learning and development budget Vacation / Leave: - 25 days annual leave + 8 US public holidays - Birthday leave - 16 weeks fully-paid parental leave Benefits: - Comprehensive medical, dental, and vision coverage - 401k with company match - Full access to Spill mental health support Compensation Range: $325K - $400K

🏢 Summary: Staff Data Analyst role focused on building and leading advanced analytics strategy to drive customer insights, predictive modeling, and AI-enabled decision-making. The position involves designing semantic data models, co-creating scalable data pipelines, and delivering high-impact dashboards and command center solutions. You will leverage cloud and big data technologies to enable data-driven strategy across cross-functional teams. 🗂️ Requirements: BS in Computer Science, MIS or related technical degree, 7+ years experience in Data Analyst, Data Engineer or BI Developer role, Advanced SQL proficiency, Experience building reports and dashboards in Tableau or similar tools, Experience with ETL processes and data pipeline development, Programming experience in Python and Java, Experience working with Databricks and Snowflake, Experience with predictive modeling and advanced analytics, Ability to design data models and semantic layers, Experience collaborating with Engineering on scalable data solutions 📃 Skills: SQL, Python, Java, Databricks, Snowflake, Tableau, ETL, AI, ML, NLP, BI, DataModeling, PredictiveModeling, Cloud, Telemetry 🏢 Description: Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.The Data & Insights Team Okta’s Enterprise Data & Insights team empowers data-driven decision making across the company by delivering trusted analytics, insights, and tools. We partner closely with teams such as Marketing, Sales, Finance, Product, and Customer First to unlock business value through data strategy, scalable solutions, and impactful storytelling. The Staff Data Analyst Opportunity We are looking for a Staff Data Analyst who has a passion for driving decisions and insights through data to join the Enterprise Data & Insights team. You will be successful if you are detail-oriented, analytical, like solving big problems, connecting dots, understanding business challenges and determining options to solve using data, and can effectively communicate with team members and business partners. In this role, you will be key in creating the foundation for data-based decision-making across Okta's functional business teams and will work with internal customers to identify ways to effectively leverage data using cutting edge cloud and big data technologies to drive business insights. What you’ll be doing Serve as the definitive SME for Customer First analytics, defining the data models, metrics, and value drivers that steer company strategy. Lead the exploration and integration of AI-driven tools to automate workflows and pioneer new methodologies for data discovery, including defining the foundational semantic models that power our AI agents. Architect the analytics strategy for customer insights, leveraging product telemetry and public data to identify and predict risk and growth signals. Own the vision for our semantic layer, ensuring it supports advanced modeling, self-service, and high-integrity dashboarding. Participate in high-impact initiatives in predictive modeling (cross-sell, churn, LTV) that directly influence GTM execution. Partner with leadership and account teams to translate raw insights into a high-impact, action oriented Command Center, empowering account teams to instantly prioritize and execute on the most urgent opportunities and risks. Partner with Engineering to co-design data pipelines and transformations that ensure long-term scalability and data quality. Set the bar for excellence in data storytelling and modeling, mentoring the broader team on best practices and process improvement. What you’ll bring to the role BS in CS, MIS, related technical degree 7+ years experience as a Data Analyst/Data Engineer/BI Developer Advanced SQL experience Excellent communication skills, both written and verbal, ability to work with all levels of the organization Provide thought leadership on the evolution of our analytics maturity, moving beyond traditional descriptive dashboards toward predictive, AI-enabled solutions that utilize NLP and deep analysis to drive proactive decision-making Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools Advanced analytics, data science, AI/ML experience and techniques are a plus Ability to work cross-functionally and communicate with technical and non-technical teams Experience with ETL processes, software development, and lifecycle awareness, using Python, Java, Databricks, and Snowflake Excellent time management and prioritization skills What you can look forward to as an Okta employee! Amazing Benefits Making Social Impact Fostering Diversity, Equity, Inclusion and Belonging at Okta Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/. Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. ir needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/. Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. #LI-HM2 #LI-Hybrid P24716_3407508The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $152,000—$190,000 USDBelow is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$136,000—$170,000 USDThe Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

🏢 Summary: Senior Business Analyst role focused on leading enterprise-scale initiatives in a cloud-native SaaS environment, driving data-driven strategy and AI-enabled productivity across business, product, and technology teams. The position shapes business analysis frameworks, defines strategic roadmaps, and influences executive decision-making. Fully remote within U.S. time zones. 🗂️ Requirements: Bachelor’s degree in Business, Information Systems, Technology, or related field, 9–12 years of business analysis or strategic experience in B2B SaaS, Expertise in process, data, and systems analysis, Experience collaborating with Product, Engineering, and GTM teams, Experience with SaaS metrics such as ARR, churn, customer lifecycle, product adoption, Proven experience leveraging AI-powered tools for analysis and decision-making, Ability to lead enterprise-scale initiatives, Legal authorization to work in the U.S. 📃 Skills: SaaS, AI, Analytics, Data, Systems, ARR, Churn, GTM, Cloud, SaaSMetrics 🏢 Description: Elite is the trusted automation platform for law firm operations across most of the world's largest and most successful law firms. Elite has guided firms through every technology shift and today delivers the only cloud-native SaaS platform that unifies financial, invoice, time, and data management into a single system of action. With embedded AI, predictive analytics, and integrated payments, Elite's products enable firms to shorten billing cycles, reduce write-offs, and unlock firm-wide insights, making financial operations the foundation for law firm innovation and growth. Learn more at elite.com.Position Overview The Senior Business Analyst serves as a strategic advisor and enterprise-level thought leader, shaping how Elite defines problems, delivers solutions, and scales analytical excellence. This role focuses on long-term impact, organizational alignment, and elevating business analysis maturity across the company. Work Arrangement: Remote This role requires the individual to be based in Flexible across U.S. time zones. Responsibilities Partner with senior leaders to define enterprise problem statements, success metrics, and strategic roadmaps. Lead mission-critical or enterprise-scale initiatives with high visibility and impact. Drive alignment across business, product, and technology strategies. Identify and scale AI-enabled productivity opportunities, embedding AI-powered tools and workflows to accelerate analysis and improve decision-making across the organization. Anticipate future business needs and proactively design scalable, forward-looking solutions. Demonstrated fluency in leveraging AI-powered tools to accelerate analysis, enhance decision-making, and improve day-to-day productivity. Establish, evolve, and govern business analysis frameworks and best practices. Coach, mentor, and develop business analysts across all levels. Represent the Business Analyst function as a trusted advisor to leadership. Influence enterprise decision-making through data-driven insights and recommendations. Strong stakeholder communication skills. Perform other duties as assigned to support departmental and company objectives. Qualifications Bachelor's Degree in Business, Information Systems, Technology, or related field, or equivalent experience. 9–12 years of experience in business analysis or related strategic roles, preferably within B2B SaaS environments. Deep expertise in process, data, and systems analysis. Experience working cross-functionally with Product, Engineering, and GTM teams in a SaaS organization. Familiarity with key SaaS metrics (e.g., ARR, churn, customer lifecycle, product adoption) and data-driven decision making. Exceptional strategic thinking, judgment, and executive communication skills. Strong change leadership and organizational awareness. Proven ability to scale impact through influence and mentorship. Ability to travel up <10% as business needs require. Role requires the following physical capacity: Sedentary: primarily desk/computer work. Must be legally authorized to work in the United States; Elite does not provide employment sponsorship for this position. Benefits: Competitive Compensation Package ($140,000 - $160,000 base salary + variable component) Comprehensive Healthcare Coverage (Health, Dental, Vision) Retirement Savings Plan with an Employer Contribution Professional Development Opportunities Time Off Wellness Initiatives Employee Assistance Program Generous Global Parental Leave Calm, free premium subscription Employee Discount Program Please note that we do not offer sponsorship for this position. Additional Information At Elite Technology, we embrace an employee-centric, flexible work model that empowers you to do your best work in the environment that suits you. However, we also recognize the importance of in-person collaboration for key moments that truly matter. In our flexible remote approach, you have the freedom to choose a workspace within your home country that best fits your needs. Our corporate offices are located in New York City, Los Angeles, Costa Rica, and the Philippines, providing additional options for those who prefer or need a hybrid work environment. Our diverse global team spans the U.S., Canada, U.K., Costa Rica, the Philippines, and Australia. Please note that at this time, we are unable to hire employees located in Quebec or Ontario Provinces, Alaska, Hawaii, Puerto Rico, Louisiana, and Oklahoma. As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. We are proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace. We also provide reasonable accommodation for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. We are not accepting applications submitted through recruiting agencies.

🏢 Summary: Lead Data Engineer role focused on driving architecture and leading a team to build scalable, secure ETL/ELT pipelines and analytics-ready data models on modern cloud platforms. The position combines hands-on engineering with technical leadership, ensuring high standards in governance, observability, and performance optimisation. You will shape data infrastructure that supports large-scale analytics across the organisation. 🗂️ Requirements: Proven experience leading data engineering or analytics engineering teams, Strong programming skills in SQL, Strong programming skills in Python, Hands-on experience with Airflow or Prefect in production, Deep practical experience with dbt, Experience with Snowflake or Databricks at scale, Strong knowledge of dimensional modelling and SCD strategies, Experience implementing data quality and governance frameworks, Experience with CI/CD and automated testing in data systems 📃 Skills: SQL, Python, Airflow, Prefect, dbt, Snowflake, Databricks, ETL, ELT, CI/CD, SCD, Dimensional, Git, IaC 🏢 Description: ABOUT THE COMPANY Our client is a global legal technology company that has been building software for the legal industry for over two decades. Our AI-powered cloud platform is used by leading law firms, Fortune 500 corporations, and government agencies worldwide to organise complex data, surface critical insights, and act on them — across litigation, investigations, regulatory inquiries, and data breach response. We're valued at $3.6 billion and invest over $170 million annually in R&D. We're making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics. Our scale means the data problems here are genuinely hard — and the infrastructure you lead will have real consequence across the organisation. ABOUT THE ROLE We're looking for a Lead Data Engineer to combine deep technical expertise with hands-on team leadership, guiding a team of data engineers building and maintaining ETL/ELT pipelines, data models, and governance frameworks that power analytics and reporting across the organisation. This is a technical leadership role — you'll drive architectural decisions, mentor engineers, and ensure delivery of secure, reliable, and scalable data solutions. You'll collaborate closely with stakeholders to align technical work with business objectives, champion governance and observability standards, and foster a culture of continuous improvement. The expectation is that you're equally effective in an architecture review as you are pairing with an engineer on a tricky pipeline problem. WHAT YOU'LL WORK ON Team leadership and mentorship Lead and mentor a team of data engineers, promoting collaboration, knowledge sharing, and professional growth. Set the standard for engineering quality and hold the bar consistently. Architecture and pipeline design Drive architectural decisions for ETL/ELT pipelines, orchestration frameworks (Airflow/Prefect), and transformation layers (dbt). Facilitate architecture reviews and contribute to design decisions for scalable, fault-tolerant systems. Analytics data modelling Oversee design and implementation of analytics-ready data models — dimensional schemas, SCD strategies, and semantic layers — that internal teams can build on reliably. Engineering best practices Ensure adherence to clean code, modular design, CI/CD, automated testing, and code review standards across all data engineering work. Platform optimisation Manage performance tuning and cost optimisation for Snowflake, Databricks, and related cloud data platforms at scale. Governance and observability Champion governance, observability, and compliance frameworks across all data workflows — including data quality, lineage tracking, and multi-tenant environment controls. Stakeholder communication Communicate effectively with leadership and cross-functional teams to provide updates, resolve blockers, and ensure timely delivery aligned with business objectives. WHAT WE LOOK FOR Proven technical team leadership Demonstrated experience leading data engineering or analytics-focused development teams — mentoring engineers, driving architectural decisions, and owning delivery outcomes. SQL and Python Strong programming skills in both SQL and Python, applied to production data systems at scale. ETL/ELT orchestration Hands-on experience with orchestration tools — Airflow and/or Prefect — in production pipeline environments. dbt expertise Deep practical experience with dbt for transformation workflows and analytics modelling, including testing, documentation, and modular project design. Snowflake and Databricks Familiarity with Snowflake and/or Databricks for large-scale data processing, including performance tuning and cost management. Data modelling principles Solid understanding of data modelling principles, incremental strategies, and schema design for analytics — dimensional modelling, SCDs, and semantic layer design. Governance and data quality Knowledge of data quality frameworks, lineage tracking, and governance in multi-tenant environments. Software engineering practices Familiarity with CI/CD, automated testing, and infrastructure-as-code practices applied to data systems. Communication and stakeholder management Strong communication skills with the ability to operate confidently across technical teams and business stakeholders. THE TEAM You'll join a global engineering organisation working on a platform used by some of the world's largest legal teams. The culture is diverse, inclusive, and driven by high standards. Engineers here work on genuinely complex technical problems at scale — and are supported with the coaching, development, and tooling to keep growing. COMPENSATION & BENEFITS Salary 270,000 – 406,000 PLN per year, plus an annual performance bonus and long-term incentives. Health coverage Comprehensive health, dental, and vision plans. Parental leave Parental leave available for both primary and secondary caregivers. Flexible working Flexible work arrangements, hybrid model. Company breaks Two week-long company-wide breaks per year, plus additional time off. Training investment Dedicated training investment programme to support ongoing professional development.

🏢 Summary: Technical Quality Engineering role focused on building and scaling AI-powered test automation and quality self-service systems across engineering teams. The position centers on developing AI-driven E2E testing tools, automated failure analysis, and scalable release quality standards to enable engineers to own quality independently. It combines hands-on test automation, AI tooling development, and cross-team technical enablement in a rapidly evolving environment. 🗂️ Requirements: Experience building AI-powered tools or automations in production environments, Experience designing and implementing automated test strategies across unit, integration, and E2E levels, Hands-on experience with end-to-end test automation using Python and Playwright or equivalent, Ability to design and maintain scalable, reliable automated test frameworks, Experience integrating automation and analysis tools into CI pipelines, Experience coaching engineers on testing practices and improving team-owned quality, Ability to operate effectively in ambiguous, fast-changing environments 📃 Skills: Python, Playwright, AI, LLM, RAG, CI, Automation, Testing, E2E, UnitTesting, IntegrationTesting 🏢 Description: Location: Hybrid 2 days per week, based in Warsaw (Czackiego 15/17). We're open to candidates based outside Warsaw, provided the 2-day commitment is realistically sustainable from where you live. Please don't treat this as a starting point for negotiation - we value the structure and consistency it brings and we want you to see the value in it too. If you're based further away, we'll assume openness to relocation is part of the conversation. About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the team Quality Engineering at hx is undergoing a strategic shift. We're moving from an embedded model, where QEs sit in product teams and deliver hands-on testing, to an enablement model, where a small central team builds the tools, standards, and coaching that help every engineer own quality. It's one of hx's boldest engineering experiments: making quality genuinely self-service without sacrificing the rigour our customers rely on. The team sits at the intersection of test automation, AI tooling, release readiness, and organisational change. We're building AI-powered systems that make end-to-end test creation accessible to all engineers, automate failure classification and routing, and provide the standards, guidance, and feedback loops teams need to make better quality decisions independently. That means shaping quality strategy, improving release risk assessment, and establishing lightweight, scalable processes for staging, deployment, and learning from failure. This is strategic work with company-wide impact, requiring technical depth, strong technical judgement, coaching capability, and comfort with ambiguity. As the third member of this newly formed team, you'll join at a pivotal moment. You'll contribute to the managed transition away from embedded QE support, take ownership of AI-powered automation tools still being defined, and build the foundations that allow hx to scale quality across dozens of engineering teams. Your work will shape whether teams can ship independently, whether release processes stay fast and trusted as we grow, and whether hx can maintain velocity without compromising reliability. Check out our Engineering Candidate Hub for a behind the scenes look at the team you would be joining! What you'll be doing Accelerate the development and adoption of hx's AI-powered end-to-end test writing agent, improving its accuracy and framework coverage to the point where at least 15 engineers across 5+ teams are independently writing E2E tests within six months of widespread release. Design and deploy an AI-powered nightly build analyser that automatically classifies test failures and routes them to owning teams, reducing daily manual review effort by 80% and proving reliable enough to extend to the release pipeline. Establish quality self-service foundations for product teams by delivering test design guidance, executable E2E framework documentation (as AI agent specifications), quality standards references, and release risk assessment templates that enable at least three teams to complete release assessments without direct QE involvement. Support the managed withdrawal of QE support from embedded product teams by contributing to fixed-scope deliverables that ensure no critical gaps in E2E coverage or delivery confidence, enabling both current QEs to transition on schedule with no unplanned regressions. Grow E2E test coverage across the organisation through coaching, pairing, and AI tooling support, increasing the number of product teams writing their own E2E tests to at least 50% within the first 12 months. Build credibility and influence across engineering teams by working alongside engineers to solve real quality challenges, demonstrating the value of team-owned quality through concrete examples rather than process mandates, and making quality ownership feel like teams' own goal rather than an external requirement. What you'll need to have done Built AI-powered tools or automations in production environments (e.g., prompt engineering, agent design, RAG pipelines, or CI-integrated analysis), demonstrating the ability to design solutions others rely on rather than just using AI assistants as coding aids. Designed and implemented automated test strategies across multiple test levels (unit, integration, E2E) for complex systems, making sound judgements about what to test at which level and communicating those trade-offs clearly to non-specialist engineers. Owned end-to-end test automation using Python and Playwright (or equivalent frameworks), writing clean, maintainable tests with clear patterns that other engineers can extend, including experience managing flaky test suites and establishing conventions for new automation from scratch. Coached or enabled engineering teams to improve their testing practices through hands-on pairing and mentoring, demonstrating measurable improvements in team capability such as increased test coverage, reduced manual testing dependencies, or improved release confidence. Influenced quality improvements across teams you didn't directly manage, building credibility through practical demonstration and making benefits concrete rather than relying on process mandates or formal authority. Operated effectively in environments characterised by ambiguity and rapid change, taking ownership of problems from identification through to iterative solution, and adapting approach based on feedback without losing momentum. You're unlikely to thrive here if You prefer clearly defined processes and established playbooks over building the systems and standards from first principles in a rapidly evolving environment. You're more comfortable being the person who delivers quality work directly rather than enabling others to build that capability themselves, or you measure success primarily by your own output rather than what teams can achieve independently. You view AI tools with scepticism or aren't genuinely curious about how to apply them practically to solve real engineering problems, or you're unwilling to learn new languages and frameworks as the problem demands. If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. Benefits Depending on how you choose to join hx (B2B or UoP), your benefits can look like: B2B Share Options at a highly successful Series B company. 25 days of non-working + 14 Polish bank holidays. £5,000 budget for Learning & Development. Mental Health Support and Therapy via Spectrum Life. Optional for you: access to Healthcare package provided by Luxmed + Multisport (fully funded by yourself as B2B Contractor). Top-spec laptop (MacOS or Windows). Contract of employment (UoP) Share Options at a highly successful Series B company. £5,000 budget for learning & development. 26 days of holiday + 14 Polish bank holidays. Company pension. 10 days company sick pay at 100% salary, thereafter in line with labour law. Mental health support and therapy via Spectrum Life. Monthly wellbeing allowance via Juno. Healthcare package provided by Luxmed. Multisport card at Classic level. Top-spec work equipment (MacOS / Windows + additional monitors, mechanical keyboards etc). Additional perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in-person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Brain Embassy . Exceptional opportunities for personal development and growth as we build something remarkable together. Interview process Talent Partner Screen Hiring Manager Interview Technical Assessment (e.g., code review, system design) Values Interview with Tech Leadership (60 minutes). We Offer! Our commitment to Diversity hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next steps If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page.

🏢 Summary: Senior Director, Data Platform and Engineering role leading a global data and analytics engineering team to build and scale a secure, AI-enabled data platform. Responsible for owning the end-to-end data lifecycle, strengthening governance and security, and delivering scalable data foundations that power AI/ML initiatives. Combines hands-on technical leadership with strategic oversight to ensure high-quality, trusted data across the organization. 🗂️ Requirements: 10+ years experience in data platform and data engineering, 5+ years in data engineering leadership role, Experience building data foundations for AI and ML initiatives, Deep knowledge of modern data stacks and data warehousing, Hands-on experience with ETL/ELT pipelines and data modeling, Proficiency in Python and SQL, Experience with cloud data platforms (AWS, GCP, or Azure), Experience implementing data governance and security controls, Experience supporting regulatory compliance (e.g., FedRamp), Proven experience leading and scaling data engineering teams 📃 Skills: Python, SQL, AWS, GCP, Azure, ETL, ELT, AI, ML, Tableau, FedRamp, Datawarehousing, Datamodeling, Governance 🏢 Description: Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.The Technology, Data, and Intelligence Team Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work. The Opportunity Okta is seeking a visionary and results-driven Senior Director, Data Platform and Engineering to lead a global data and analytic engineering team ensuring our data assets are leveraged to their full potential. Reporting to the VP of Data and Insights this role requires a leader who is as comfortable with a technical deep dive as they are with a strategic business discussion. You will be a "player-coach" who can build and mentor a world-class team while personally driving strategic initiatives and ensuring the integrity of our data foundation. A core part of your responsibility will be to champion and enable our AI strategy and technical foundations, ensuring that clean, trusted, and well-governed data is the foundation for all AI initiatives. With the growth of AI in our Products and our business, Okta’s data is more critical to our success than ever. This role will make sure we continue to support the organization run and grow, while building out the platform for the future. Candidates should be energized by that challenge. What You'll Do Lead and Inspire a High-Performing Team: Build, mentor, and scale a diverse, high-performing team of data and analytics engineers, fostering a culture of excellence, collaboration, and continuous learning. Champion AI Enablement: Act as a critical partner to the AI Engineering teams. Ensure our data and data infrastructure and practices are optimized to support and accelerate AI development and deployment. This includes defining data governance standards, building high-quality training datasets, and developing scalable data pipelines for AI/ML models. Advance the Data Foundation: Own “back end” data lifecycle for critical business domains, from data ingestion and ETL/ELT pipelines to data modeling, quality assurance, and governance. Ensure a single source of truth for key metrics across the organization. Enhance Data Security and Governance: Partner with Security leaders to define and implement policies and systems to safeguard data privacy, ensure regulatory compliance, and protect sensitive information. This includes establishing robust data access controls, audit trails, and data retention policies. Partner Cross-Functionally: Collaborate closely with technology and business partners, including Product and Engineering leadership, to embed data and analytics into both internal and customer facing product development. What You Bring Experience: 10+ years of progressive experience in data platform, and data engineering, with at least 5+ years in a leadership role. AI Know How: Demonstrated experience in building data foundations and pipelines specifically to support and accelerate AI and machine learning initiatives. Technical Expertise: Deep knowledge of modern data stacks, including data warehousing, ETL/ELT pipelines, data modeling, and Tableau. Proficiency with Python, SQL, and experience with cloud-based data environments that enable AI use-cases (e.g., AWS, GCP, Azure). Governance: Proven ability to build secure solutions for both commercial and public sectors. Experience with FedRamp and the public sector cloud strongly preferred. Cross-Functional Collaboration: Exceptional ability to translate technical needs across product and IT platforms. Must also have the ability to communicate complex data concepts to both technical and non-technical audiences. Team Development: A track record of successfully hiring, mentoring, and leading high-performing data teams. Problem-Solving: A strategic mindset and a passion for solving ambiguous, complex business problems with a rigorous, data-driven approach. #LI-MC1 #LI-Hybrid #P14112_3419375The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $276,000—$379,500 USDBelow is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$246,000—$338,800 USDThe Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

🏢 Summary: Lead Distributed Data Platform Engineer responsible for architecting and delivering enterprise-scale lakehouse and distributed data platforms to enable advanced analytics and reporting. The role combines hands-on technical leadership with team mentorship, driving scalable, secure, and high-performance data solutions in cloud-native environments. You will guide architectural decisions, enforce engineering best practices, and ensure platform reliability at scale. 🗂️ Requirements: Proven experience leading data engineering or platform teams, Strong programming skills in Python, Strong programming skills in SQL, Hands-on experience with Apache Spark in production, Experience with Delta Lake and/or Apache Iceberg in production, Experience designing distributed systems and lakehouse architectures, Experience building scalable data pipelines, Knowledge of CI/CD and automated testing practices, Experience with Kubernetes and Docker, Experience working in cloud-native environments 📃 Skills: Python, SQL, Spark, Delta, Iceberg, dbt, Databricks, Snowflake, Kubernetes, Docker, CI/CD, Java, Scala, Rust 🏢 Description: ABOUT THE COMPANY We are a global legal technology company that has been building software for the legal industry for over two decades. Our AI-powered cloud platform is used by leading law firms, Fortune 500 corporations, and government agencies worldwide to organise complex data, surface critical insights, and act on them — across litigation, investigations, regulatory inquiries, and data breach response. We're valued at $3.6 billion and invest over $170 million annually in R&D. We're making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics. Our scale means the data problems here are genuinely hard — and the platform you lead will underpin how the entire organisation accesses and acts on its data. ABOUT THE ROLE We're building a specialised team focused on enabling advanced analytics and reporting capabilities across our internal data ecosystem. As Lead Distributed Data Platform Engineer, you'll combine deep technical expertise with hands-on team leadership — guiding a team in designing and maintaining data platforms that integrate modern lakehouse technologies, distributed compute frameworks, and cloud-native services at enterprise scale. You'll lead architectural decisions, mentor engineers, and ensure delivery of secure, reliable, and scalable solutions. The role emphasises technical leadership, governance best practices, and a culture of innovation and continuous improvement. You'll also participate in on-call rotations as part of shared team responsibility for platform reliability. WHAT YOU'LL WORK ON Team leadership and mentorship Lead and mentor a team of data platform engineers, promoting collaboration, knowledge sharing, and professional growth. Set and maintain high engineering standards across the team. Distributed systems architecture Drive architectural decisions for distributed systems and lakehouse platforms using Spark, Delta Lake, and Iceberg. Facilitate architecture reviews and contribute to design decisions for fault-tolerant, future-ready systems. Data pipeline and platform delivery Oversee design and implementation of scalable data pipelines and analytics workflows, ensuring they are reliable, performant, and maintainable at scale. Engineering best practices Ensure adherence to clean code, modular design, CI/CD, automated testing, and code review standards across all platform engineering work. Performance and cost optimisation Manage performance tuning, scalability strategies, and cost optimisation across cloud-native environments and large-scale distributed workloads. Governance and observability Champion governance, observability, and compliance frameworks across all data platforms — ensuring data remains accessible, secure, and auditable. Stakeholder communication Communicate effectively with leadership and cross-functional teams to provide updates, resolve blockers, and ensure delivery aligns with business objectives and analytics needs. WHAT WE LOOK FOR Proven technical team leadership Demonstrated experience leading data engineering or platform development teams — mentoring engineers, owning architectural decisions, and driving delivery outcomes. Python and SQL Strong programming skills in both Python and SQL applied to production data platform work at scale. Apache Spark Hands-on experience with Spark for distributed data processing, including performance tuning and optimisation in production environments. Lakehouse architecture Expertise in Delta Lake and/or Apache Iceberg. You understand the trade-offs and have applied these technologies in production at scale. Analytics tooling Familiarity with dbt, Databricks, and Snowflake for analytics workflows and large-scale data processing. Software engineering fundamentals Solid understanding of software engineering principles — CI/CD, automated testing, clean code, and modular design applied to data platform systems. Infrastructure and containerisation Familiarity with Kubernetes, Docker, and infrastructure-as-code tools in cloud-native environments. Communication and stakeholder management Strong communication skills with the confidence to operate across engineering teams, cross-functional partners, and senior leadership. Bonus Exposure to event-driven architectures and advanced analytics platforms. Experience enabling self-service analytics for internal stakeholders. Experience in Java, Scala, or Rust. Exposure to service mesh and advanced orchestration patterns. THE TEAM You'll join a global engineering organisation working on a platform used by some of the world's largest legal teams. The culture is diverse, inclusive, and driven by high standards. Engineers here work on genuinely complex technical problems at scale — and are supported with the coaching, development, and tooling to keep growing. COMPENSATION & BENEFITS Salary 270,000 – 406,000 PLN per year, plus an annual performance bonus and long-term incentives. Health coverage Comprehensive health, dental, and vision plans. Parental leave Parental leave available for both primary and secondary caregivers. Flexible working Flexible work arrangements with a remote-first model. Company breaks Two week-long company-wide breaks per year, plus additional time off. Training investment Dedicated training investment programme to support ongoing professional development.

🏢 Summary: Product Manager role focused on Identity Threat Protection, driving the development of capabilities that detect and prevent identity-based attacks across human and non-human identities. The position owns product areas from concept to launch, translating security strategy into executable plans and scalable solutions. It involves close collaboration with engineering and security teams to deliver enterprise-grade threat detection and response features. 🗂️ Requirements: 3+ years of product management experience in enterprise SaaS, cybersecurity, or identity products, Experience with identity or security domains (IAM, threat detection, security operations, incident response), Ability to define detailed product requirements and work closely with engineering teams, Strong analytical skills with data-driven decision making, Technical background in Computer Science, Engineering, or equivalent, Experience delivering customer-facing security or enterprise product capabilities 📃 Skills: IAM, Cybersecurity, SaaS, ThreatDetection, SecurityOperations, IncidentResponse, XDR, SIEM, SSE, ProductManagement, DataAnalysis, ComputerScience 🏢 Description: Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.Product Manager, Identity Threat Protection (ITP)Join Okta’s Identity Threat Protection (ITP) team as an outcome-driven and customer-focused Product Manager. ITP aims to stop identity-based attacks, serving as a core security platform that detects and prevents threats, helping customers prevent breaches and secure their digital ecosystems.As a Product Manager for Okta ITP, you will own key product areas and contribute to the continued evolution of ITP to meet customer and business needs. You will work closely with senior product leaders, engineering, and design to help define how Okta detects and stops identity-based attacks, automates security responses, and reduces the risk of breach and compromise. If you’re passionate about improving customer security and engaging with a vibrant community, we’re looking for you.What you will do: Own specific product areas or capabilities within Identity Threat Protection (ITP), driving delivery from concept through launch and iteration Partner with senior product managers to shape roadmap priorities and translate strategy into clear, executable plans Develop a strong understanding of customer problems and the evolving identity attack surface, including human identities, AI agents, and non-human identities (NHIs) Contribute to roadmap planning and prioritization, balancing customer needs, technical constraints, and business goals Define clear product requirements, user experiences, and success criteria to enable efficient and high-quality engineering execution Work closely with engineering, design, and security teams to deliver scalable, reliable product capabilities Leverage product data, customer feedback, and research to inform decisions and continuously improve product outcomes Support go-to-market efforts, including positioning, enablement, and driving product adoption and customer success Collaborate cross-functionally with sales, marketing, and customer success teams to ensure successful product launches and ongoing customer value Continuously build domain expertise in identity security, threat detection, and prevention Required: 3+ years of product management experience, ideally in enterprise SaaS, cybersecurity, or identity-related products Foundational experience or exposure to identity or security domains such as IAM, threat detection, security operations, or incident response Strong communication skills (presentation, verbal, and written) with the ability to collaborate effectively across technical and non-technical teams Demonstrated ability to break down complex problems and drive structured execution in ambiguous environments Experience defining product requirements and working closely with engineering teams to deliver customer-facing capabilities Analytical mindset with the ability to use data to inform decisions and measure outcomes Technical foundation (Computer Science, Engineering, or equivalent experience) sufficient to engage in technical discussions and influence design decisions Proven ability to deliver meaningful product outcomes and contribute to business impact Preferred: Experience contributing to the development and iteration of enterprise-scale products Familiarity with identity and access management (IAM) concepts, protocols, and systems Exposure to security products such as XDR, SIEM, SSE, or threat detection platforms Experience working in cross-functional product teams spanning engineering, design, and go-to-market functions Demonstrated ability to quickly learn and ramp in complex technical domains Advanced degree in a technical or business field #LI-MM #LI-Remote P23937_3358997The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $159,000—$219,000 USDBelow is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$142,000—$196,000 USDBelow is the annual salary range for candidates located in Canada. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/can.The annual base salary range for this position for candidates located in Canada is between:$124,000—$170,000 CADThe Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.