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Location: Spain Workplace: Hybrid ABOUT THE ROLE We're looking for an experienced Regional Marketing Manager to build and scale Wonderful's brand, ecosystem, and market presence across their region, while contributing to our global marketing strategy. This is a high-impact opportunity for someone who thrives in fast-paced environments, can bridge strategy and execution, and enjoys building programs from the ground up. As the primary marketing leader in-region, you will act as a trusted business partner to the Regional General Manager (GM), ensuring marketing is fully aligned with regional business priorities and supports every stage of the customer lifecycle from awareness and demand generation through customer acquisition, expansion, advocacy and retention. KEY RESPONSIBILITIES - Serve as the strategic marketing business partner to the Regional GM, developing and executing regional marketing plans aligned to business objectives and revenue targets. - Own and execute the regional marketing strategy, ensuring alignment across the entire customer lifecycle, including awareness, demand generation, pipeline acceleration, customer marketing, advocacy and retention. - Plan and deliver integrated marketing programs that drive brand awareness, demand generation, pipeline growth and customer engagement. - Lead regional field marketing initiatives, including executive engagement, flagship events, customer programs, ecosystem and partner marketing, PR, content and strategic communications. - Partner closely with leadership, GTM team, Central Marketing teams to execute regional go-to-market initiatives and support revenue growth. - Localise global messaging, campaigns and product positioning to resonate with regional enterprise audiences. - Develop and execute account-based marketing (ABM) programs targeting priority enterprise accounts. - Build relationships with customers, partners, analysts, media and industry influencers to strengthen Wonderful's market presence. - Manage regional marketing budgets, agency relationships and external vendors where required. - Measure, analyse and report on marketing performance, using data and insights to optimise campaigns and maximise ROI. - Provide regular market intelligence, customer insights and competitive feedback to help shape regional and Central Marketing strategy. QUALIFICATIONS - 8+ years' experience in B2B enterprise marketing, with a strong background in field marketing and integrated demand generation. - Proven experience partnering closely with senior business leaders and commercial teams to deliver measurable business outcomes. - Hands-on experience across field marketing, executive events, account-based marketing (ABM), partner marketing, integrated campaigns, PR, content marketing and communications. - Strong understanding of enterprise go-to-market (GTM) strategies and the full customer lifecycle. - Experience translating product messaging into compelling regional campaigns and marketing assets. - Experience working within enterprise AI, SaaS, cloud, cybersecurity or enterprise software organisations is highly desirable. - Strong analytical skills with experience measuring marketing performance and optimising programs based on data. - Excellent stakeholder management and communication skills, with the ability to influence across regional and global teams. - Comfortable operating in a fast-paced, high-growth environment with the ability to manage multiple priorities. - Professional proficiency in written and spoken English. PROFILE - Highly self-driven with a strong sense of ownership and accountability. - Strategic thinker who enjoys being hands-on and delivering results. - Trusted business partner with strong commercial acumen and the ability to influence senior stakeholders. - Entrepreneurial mindset with the ability to build and scale programs from the ground up. - Excellent communicator with strong business judgement and customer focus. - Collaborative team player who thrives working across functions, regions and cultures. - Passionate about technology and excited by the opportunity to help shape the future of enterprise AI. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Indonesia ABOUT THE ROLE We're looking for an experienced Regional Marketing Manager to build and scale Wonderful's brand, ecosystem, and market presence across their region, while contributing to our global marketing strategy. This is a high-impact opportunity for someone who thrives in fast-paced environments, can bridge strategy and execution, and enjoys building programs from the ground up. As the primary marketing leader in-region, you will act as a trusted business partner to the Regional General Manager (GM), ensuring marketing is fully aligned with regional business priorities and supports every stage of the customer lifecycle from awareness and demand generation through customer acquisition, expansion, advocacy and retention. KEY RESPONSIBILITIES - Serve as the strategic marketing business partner to the Regional GM, developing and executing regional marketing plans aligned to business objectives and revenue targets. - Own and execute the regional marketing strategy, ensuring alignment across the entire customer lifecycle, including awareness, demand generation, pipeline acceleration, customer marketing, advocacy and retention. - Plan and deliver integrated marketing programs that drive brand awareness, demand generation, pipeline growth and customer engagement. - Lead regional field marketing initiatives, including executive engagement, flagship events, customer programs, ecosystem and partner marketing, PR, content and strategic communications. - Partner closely with leadership, GTM team, Central Marketing teams to execute regional go-to-market initiatives and support revenue growth. - Localise global messaging, campaigns and product positioning to resonate with regional enterprise audiences. - Develop and execute account-based marketing (ABM) programs targeting priority enterprise accounts. - Build relationships with customers, partners, analysts, media and industry influencers to strengthen Wonderful's market presence. - Manage regional marketing budgets, agency relationships and external vendors where required. - Measure, analyse and report on marketing performance, using data and insights to optimise campaigns and maximise ROI. - Provide regular market intelligence, customer insights and competitive feedback to help shape regional and Central Marketing strategy. QUALIFICATIONS - 8+ years' experience in B2B enterprise marketing, with a strong background in field marketing and integrated demand generation. - Proven experience partnering closely with senior business leaders and commercial teams to deliver measurable business outcomes. - Hands-on experience across field marketing, executive events, account-based marketing (ABM), partner marketing, integrated campaigns, PR, content marketing and communications. - Strong understanding of enterprise go-to-market (GTM) strategies and the full customer lifecycle. - Experience translating product messaging into compelling regional campaigns and marketing assets. - Experience working within enterprise AI, SaaS, cloud, cybersecurity or enterprise software organisations is highly desirable. - Strong analytical skills with experience measuring marketing performance and optimising programs based on data. - Excellent stakeholder management and communication skills, with the ability to influence across regional and global teams. - Comfortable operating in a fast-paced, high-growth environment with the ability to manage multiple priorities. - Professional proficiency in written and spoken English. PROFILE - Highly self-driven with a strong sense of ownership and accountability. - Strategic thinker who enjoys being hands-on and delivering results. - Trusted business partner with strong commercial acumen and the ability to influence senior stakeholders. - Entrepreneurial mindset with the ability to build and scale programs from the ground up. - Excellent communicator with strong business judgement and customer focus. - Collaborative team player who thrives working across functions, regions and cultures. - Passionate about technology and excited by the opportunity to help shape the future of enterprise AI. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Sweden ABOUT THE ROLE We're looking for an experienced Regional Marketing Manager to build and scale Wonderful's brand, ecosystem, and market presence across their region, while contributing to our global marketing strategy. This is a high-impact opportunity for someone who thrives in fast-paced environments, can bridge strategy and execution, and enjoys building programs from the ground up. As the primary marketing leader in-region, you will act as a trusted business partner to the Regional General Manager (GM), ensuring marketing is fully aligned with regional business priorities and supports every stage of the customer lifecycle from awareness and demand generation through customer acquisition, expansion, advocacy and retention. KEY RESPONSIBILITIES - Serve as the strategic marketing business partner to the Regional GM, developing and executing regional marketing plans aligned to business objectives and revenue targets. - Own and execute the regional marketing strategy, ensuring alignment across the entire customer lifecycle, including awareness, demand generation, pipeline acceleration, customer marketing, advocacy and retention. - Plan and deliver integrated marketing programs that drive brand awareness, demand generation, pipeline growth and customer engagement. - Lead regional field marketing initiatives, including executive engagement, flagship events, customer programs, ecosystem and partner marketing, PR, content and strategic communications. - Partner closely with leadership, GTM team, Central Marketing teams to execute regional go-to-market initiatives and support revenue growth. - Localise global messaging, campaigns and product positioning to resonate with regional enterprise audiences. - Develop and execute account-based marketing (ABM) programs targeting priority enterprise accounts. - Build relationships with customers, partners, analysts, media and industry influencers to strengthen Wonderful's market presence. - Manage regional marketing budgets, agency relationships and external vendors where required. - Measure, analyse and report on marketing performance, using data and insights to optimise campaigns and maximise ROI. - Provide regular market intelligence, customer insights and competitive feedback to help shape regional and Central Marketing strategy. QUALIFICATIONS - 8+ years' experience in B2B enterprise marketing, with a strong background in field marketing and integrated demand generation. - Proven experience partnering closely with senior business leaders and commercial teams to deliver measurable business outcomes. - Hands-on experience across field marketing, executive events, account-based marketing (ABM), partner marketing, integrated campaigns, PR, content marketing and communications. - Strong understanding of enterprise go-to-market (GTM) strategies and the full customer lifecycle. - Experience translating product messaging into compelling regional campaigns and marketing assets. - Experience working within enterprise AI, SaaS, cloud, cybersecurity or enterprise software organisations is highly desirable. - Strong analytical skills with experience measuring marketing performance and optimising programs based on data. - Excellent stakeholder management and communication skills, with the ability to influence across regional and global teams. - Comfortable operating in a fast-paced, high-growth environment with the ability to manage multiple priorities. - Professional proficiency in written and spoken English. PROFILE - Highly self-driven with a strong sense of ownership and accountability. - Strategic thinker who enjoys being hands-on and delivering results. - Trusted business partner with strong commercial acumen and the ability to influence senior stakeholders. - Entrepreneurial mindset with the ability to build and scale programs from the ground up. - Excellent communicator with strong business judgement and customer focus. - Collaborative team player who thrives working across functions, regions and cultures. - Passionate about technology and excited by the opportunity to help shape the future of enterprise AI. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Islamabad Capital Territory, Pakistan Finance Executive Finance · Full-time· In-Person (Islamabad, PK) · Hours 6pm - 2am PKT About Nysonian Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live. We go beyond creating great products to build experiences that elevate everyday life and empower people around the world. Our Fast-Growing Portfolio Includes: NOBL Travel — redefining modern travel with design, durability, and performance FLO Pilates — bringing Pilates into homes and wardrobes globally Core Values: Winners’ Mindset | Speed with Purpose | Thoughtful Innovation | Genuineness | No Ego, Full Ownership The Opportunity The analyst supports accurate and timely financial accounting, general ledger maintenance, reconciliations, month-end close and financial reporting, with the related control activities. The role requires sound accounting knowledge and independent judgement in reviewing transactions, investigating variances and resolving discrepancies, managing assigned accounts independently while escalating complex, unusual or high-risk matters to the Manager. What You'll Own General Ledger Ownership: Maintain accurate financial records, journal entries, account classifications, and supporting documentation while ensuring GL and Chart of Accounts integrity. Period-End Close: Execute month-end, quarter-end, and year-end close activities, including accruals, provisions, prepayments, depreciation, and required reconciliations. Account Reconciliations: Prepare and review balance sheet and control account reconciliations, investigate variances, and resolve aged or unsupported items within defined timelines. Financial Reporting & Analysis: Prepare reporting schedules and accounting inputs while analyzing account-level variances, trends, and material movements for management reporting. Treasury, Payables & Fixed Assets: Manage bank reconciliations, supplier balances, accruals, prepayments, and fixed asset records, ensuring accurate accounting and timely resolution of discrepancies. Intercompany Accounting: Process and reconcile intercompany transactions, confirmations, settlements, and eliminations while investigating and resolving counterpart differences. Audit, Compliance & Controls: Support internal and external audits, maintain complete audit trails, enforce finance policies and controls, and proactively escalate control gaps and financial risks. Systems & Process Improvement: Maintain accurate ERP data, coordinate with cross-functional finance and operations teams, and drive process standardization, automation, and continuous improvement. Skills & Qualifications Educational Background: Bachelor’s degree in Accounting, Finance, Commerce, or a related discipline; professional accounting qualification or part-qualification is an advantage. Relevant Experience: 4–6 years of experience in Finance & Accounts, General Ledger, R2R, or financial accounting, with hands-on month-end close, journal entries, and reconciliations. Accounting Expertise: Strong understanding of accounting principles, double-entry bookkeeping, accruals, provisions, prepayments, depreciation, intercompany accounting, and balance sheet controls. ERP & Reporting Systems: Proven experience working with ERP and financial reporting systems, with exposure to audit processes and internal controls. Advanced Analytical Skills: Strong reconciliation and variance-analysis capabilities, with advanced Excel proficiency including formulas, lookups, and pivot tables. Ownership & Accuracy: High level of accountability and attention to detail, with the confidence to challenge unusual, unsupported, or high-risk financial entries. Professional Execution: Strong problem-solving and communication skills, with the ability to exercise sound judgment, maintain confidentiality, and deliver accurately under tight reporting deadlines. Why You'll Love Working at Nysonian Culture We're founder-led and operate with speed, direct communication, and clear accountability We invest in tools and management practices that help colleagues do their best work Our products are used by customers globally AI is intentionally embedded in how we work, create, and scale Senior leaders are expected to create structure, make decisions, and stay close to execution Growth & Development Competitive pay and meaningful opportunities for performance-based advancement Ownership of strategy, systems, execution, and team buildout within your function Opportunity to build and scale a meaningful part of the business across two consumer brands Scope and compensation growth tied to performance, role expansion, and measurable business impact We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, gender, marital status, national origin, genetics, disability, age, veteran status or other characteristics.

Location: Remote; Remote or Boston, MA Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs. We're a team of fiercely driven individuals committed to making healthcare more sustainable—and we're looking for passionate people to help us get there. For more information, visit arcadia.io. Why this role is important to Arcadia Arcadia is building a direct-to–Life Sciences commercial function as a strategic growth pillar of the company. The Director, Business Development - Life Sciences is an individual contributor seller responsible for building and closing enterprise relationships with pharmaceutical and biotechnology companies within an assigned account territory. This is a true end-to-end selling role. You will prospect and develop new opportunities, lead discovery conversations with scientific and commercial stakeholders, scope and price solutions, negotiate contracts, and partner closely with internal teams to ensure successful delivery and long-term client satisfaction. This role is designed for a life sciences seller with fluency in real-world data, analytics, and evidence-based solutions—someone who understands how pharma organizations buy across the development lifecycle and who wants to build a durable book of business inside Arcadia's growing direct Life Sciences sales organization.   What Success Looks Like In 3 months Build a deep understanding of Arcadia's Life Sciences data, solutions, operating model, and delivery capabilities Establish credibility and working rhythm with Product, Data, Ops, Delivery, Legal, and Finance Build a qualified pipeline within your assigned account territory, leveraging existing relationships and Arcadia's differentiated data assets Complete onboarding on Arcadia's Life Sciences value narrative, competitive positioning, and pricing framework In 6 months Advance a meaningful, qualified pipeline aligned to pharma planning and budgeting cycles Close at least one deal or be in late-stage contracting on priority opportunities Demonstrate strong deal scoping discipline with smooth handoffs into delivery Maintain accurate CRM hygiene and deliver a reliable forecast to your manager In 12 months Consistently attain quota with a 3-5x quota, well-qualified pipeline across your territory Close multiple deals with clear expansion potential, including at least one multi-year or enterprise agreement Build strong relationships with scientific, commercial, and procurement stakeholders where Arcadia is viewed as a trusted partner Provide market feedback that influences packaging, pricing, or roadmap prioritization What You'll Be Doing PROSPECT AND BUILD A QUALIFIED LIFE SCIENCES PIPELINE Proactively build pipeline in a green-field or assigned Life Sciences territory using conference presence, publication monitoring, thought leadership networks, hunting via warm and cold outreach, leveraging of BDR Team, and CRO or consultancy partnerships Identify and prioritize high-probability targets using a defined ideal customer profile: company size, therapeutic area focus, pipeline stage, and recent approvals Map multi-threaded stakeholder ecosystems across R&D, HEOR, medical, market access, and commercial teams at target accounts Maintain rigorous pipeline hygiene using a defined qualification methodology (e.g., MEDDIC, MEDDPICC, or BANT) to advance or deprioritize opportunities LEAD SOLUTION SELLING ACROSS THE PHARMA DEVELOPMENT LIFECYCLE Lead discovery conversations across early research, clinical development, HEOR/RWE, market access, and commercial analytics Translate complex client needs into well-scoped solutions that balance data, analytics, services, and delivery realities Guide clients toward use cases where Arcadia can deliver outsized value, not lowest-friction data transactions Align solutions to client budgeting and planning cycles, including annual and multi-year funding processes CONDUCT CONSULTATIVE, VALUE-BASED SELLING Lead structured discovery that surfaces business problems and internal success metrics before any product discussion Build ROI and business cases using the customer's own metrics and language, validated by the scientific or commercial champion Adapt selling approach and content to the buyer persona and Use Case - modulating message and proof points accordingly NEGOTIATE AND CLOSE COMMERCIAL AGREEMENTS Structure enterprise data agreements—licensing, DUAs, MSAs, usage-based pricing—that protect margin while delivering clear buyer value Exercise strong commercial judgment on deal structure, pricing, and scope, with a clear negotiating position and walk-away point on every deal Respond to procurement pressure by re-anchoring to validated scientific and commercial value rather than discounting immediately Own the full lifecycle: Opportunity qualification Solution design and scoping Proposal and SOW development Pricing and commercial structuring Contract negotiation and close Partner closely with legal, finance, and leadership to finalize terms efficiently COLLABORATE ACROSS TEAMS AND MAINTAIN FORECAST DISCIPLINE Partner effectively with data science, medical, product, legal, and delivery teams to configure and present solutions that meet complex customer requirements Orchestrate internal resources without over-committing them, and manage a clean handoff to delivery and customer success to protect revenue Maintain accurate, up-to-date CRM records and deliver reliable forecasts, distinguishing clearly between commit, best case, and pipeline Contribute market and competitive feedback that informs product roadmap, packaging, and pricing decisions What You'll Bring 5+ years of experience selling into pharmaceutical and/or biotechnology companies, ideally in a quota-carrying, individual contributor role Demonstrated success selling data-, analytics-, or evidence-driven solutions (RWD, RWE/HEOR, clinical analytics, or adjacent offerings) Deep working knowledge of Life Sciences functional area—HEOR, Medical Affairs, Clinical Development, or Payer/Market Access—including how that function makes decisions and purchases data and analytics solutions Proven ability to engage scientific buyers (PhDs, MDs, biostatisticians, epidemiologists) with credibility on methodology , study design, and data fit-for-purpose Experience structuring and negotiating enterprise data licensing agreements, including DUAs, MSAs, and usage-based pricing models A disciplined approach to pipeline management and forecasting, using a defined qualification methodology Strong cross-functional collaboration skills and comfort operating in a build-mode commercial environment Would Love For You To Have Existing senior relationships within pharma or biotech that can accelerate early pipeline development Familiarity with FDA RWE Framework, EMA guidance, or ISPOR methodology standards Experience selling into more than one Life Sciences functional area (e.g., both HEOR and Medical Affairs) Active presence in relevant industry conferences (ISPOR, ASCO, ASH, DIA, AMCP) and referral relationships with CROs or HEOR consultancies MEDDIC or MEDDPICC certification, or equivalent formal sales methodology training What You'll Get Arcadia brings a rare advantage to Life Sciences: a market-leading, scaled payer and provider platform as its foundation For more than a decade, Arcadia has been the trusted data and analytics partner to health systems, physician groups, and payers nationwide. That core business provides deep, longitudinal clinical and claims data, embedded clinical workflows, and durable relationships across the healthcare ecosystem Building on this foundation, Arcadia has assembled a large, de-identified real-world dataset combining claims and clinically rich EHR data sourced directly from provider systems. The result is a longitudinal, research-grade asset with depth and clinical context that is difficult to replicate through aggregation alone Life Sciences is a strategic pillar built on this foundation. Arcadia has made a deliberate, multi-year investment in: Purpose-built real-world data assets Clinically connected solutions that link insight back into provider workflows A growing research and collaboration ecosystem to expand data use rights Dedicated leadership, product, data, and operational resources The opportunity is to sell—and help shape—solutions that connect data, analytics, and real-world clinical activation across the pharma development lifecycle, backed by enterprise credibility and executive commitment This role is a founding, hands-on commercial leadership role, accountable for building the direct Life Sciences revenue engine, and deeply involved in shaping deals, messaging, and market positioning This role is not a channel-only or account maintenance role, a narrowly scoped quota-carrying role with a fixed playbook, and insulated from product, delivery, or execution realities About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: New York, NY About Us: EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row! About You : As a Staff Data Scientist on the Data Science & Insights team, you will serve as the analytics expert for your internal stakeholders, using data & models to help them make better decisions. You thrive in dealing with ambiguous decision-making problems, small & big data modeling and insight generation, both for clients and internal stakeholders. You’ll explore and analyze new datasets as we enter new markets and quickly make critical recommendations for your fellow team-mates in Engineering and Product Management. You love diving deep into hard analytical questions, striving in answering ambiguous open ended questions with clear data-driven insights and recommendations. You’re supercharged by having interesting, unsolved problems continually present themselves and inform both the technical as well as business side of the business for critical decisions.  You demonstrate ownership and leadership to build out the analytical muscle at EvolutionIQ and demonstrate value by clearly shaping the path of new developments and high ROI initiatives. Your Impact: You will work closely with Engineering & Product to improve our team and clients understanding of claims data; you work closely with business stakeholders to leverage internal data that demonstrates product ROI and give them mission-critical insights to steer the company in new high ROI directions. The ideal candidate will ensure EIQ tells excellent stories through data & modeling that clearly and accurately communicate the impact and ROI of our products internally and externally. Additionally, you will partner with product managers to do rapid iterations on new product ideas, scope the business opportunity of new product features, and measure ROI of ongoing user engagement with a variety of products. What You'll Achieve (Performance Outcomes) : Support the decision-making of EvolutionIQ’s leadership team in critical recommendations such as which product features we should build as they lead to highest projected ROI or measuring impact of existing product through sophisticated experimental design setups that best leverage the user feedback we have on challenging small data, high variance outcome problems. Uncover new product research directions (hypothesis generation) through exploratory data analysis and hypothesis testing. Create data insights to win clients by helping define and build the sales & marketing narrative Present results to internal stakeholders as well as our clients in the insurance industry Generate meta-analysis across clients to drive product & sales strategies Build, own, and standardize client-facing analysis and reporting on existing products across multiple clients and ROI dimensions Work closely with the ML team to analyze the impact of modeling results, debug data issues, and communicate findings to colleagues and clients. Write efficient and reliable relational database queries, create re-usable dashboards, write design documents, write clean & maintainable code for reproducible analytics via CLI tools, perform code reviews, and maintain state-of-the-art engineering practices. Continue to grow and learn in the data & analytics space, focusing on business problems that require making sense of large-scale structured and unstructured datasets. Oversee the integration of cross-organizational projects, drive improvements and recommendations for your engineering and product counterparts, and define operational goals and objectives. Provide direction and accomplish results for business leaders through solving hard measurement problems that impact business bottom line About You (Key Competencies): 7+ years of data analysis/quantitative experience, preferably within Machine Learning and Product environments At least 2 years experience in mentoring or tech-leading junior analysts and business-critical analytics projects Masters degree in statistics or equivalent quantitative field with strong focus on applied, data-driven solutions. Sophisticated knowledge of statistics, linear & non-parametric modeling, and advanced SQL engineering experience. Designed, implemented, and analyzed A/B or multi-arm experiments with clear recommendations for product direction & development. Proficient in the use of Python, pandas, Jupyter notebooks, and SQL-based analytics dashboards (e.g., Google’s DataStudio / Looker or Tableau), and familiarity with standard statistical packages and visualization tools in Python. Skilled data illustrator who makes market-ready graphs, slides, figures, and presentations Excellent communication, storytelling, and presentation skills Proven understanding of Product and Business analytics, fundamentals, and processes Proven ability to synthesize data insights into actionable recommendations Proven ability to handle large datasets via SQL and/or map-reduce analytics and data aggregation as needed. Even Better if You Have: PhD in statistics or related quantitative field with strong focus on applied, data-driven solutions. Experience in Bayesian statistics and causal inference methods Written production quality code for reproducible analytics pipelines Work-life, Culture & Perks: Compensation: The base salary range is up to $250K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP is seeking a Director, Security Engineering & Operations to lead the teams responsible for enterprise security engineering and security operations. Reporting directly to the CISO and serving as a senior member of the Security leadership team, this leader will shape strategy, lead a growing team of managers, engineers, and analysts, and drive measurable security outcomes across a fast-moving technology environment. This is a leadership role for someone who has successfully scaled security operations in complex, high-growth environments and brings strong security engineering experience. The right leader combines strategic judgment with strong technical depth, staying close enough to the work to set a high bar for engineering quality, guide critical technical decisions, and lead effectively through significant security events. This leader will play a significant role in shaping the team, operating model, and technical roadmap as WHOOP scales, advancing capabilities across security engineering, detection and response, incident management, security automation, identity, cloud, endpoint, SaaS, data protection, and other enterprise security domains. As WHOOP expands its use of AI across member-facing products, internal technology, and engineering, and continues to evolve its capabilities in health, this leader will help ensure security scales alongside the company's technology, data, regulatory, and threat landscape. RESPONSIBILITIES - Lead Security Engineering and Security Operations, defining strategy, priorities, technical standards, performance expectations, and measurable outcomes across both functions. - Advance a risk and threat-informed detection and response program that connects priority threat scenarios to the telemetry, detections, investigation capabilities, response procedures, and operational controls required to address them, including identity-centric, data protection, and insider risk scenarios. - Lead security incident readiness and response, including escalation, incident command for significant events, cross-functional coordination, post-incident review, and accountability for follow-up actions. - Guide the engineering and operationalization of preventive and detective security controls across identity, endpoint, cloud, SaaS, infrastructure, data, AI-enabled systems, and other high-value enterprise environments, while setting a high bar for technical design, testing, documentation, maintainability, and lifecycle management. - Lead the security strategy and engineering approach for AI-enabled products and enterprise AI adoption, including access controls, sensitive data handling, model and application security, third-party integrations, tool and agent permissions, monitoring, auditability, and secure use of AI across the company. - Drive an outcome-oriented approach to security technology and managed services, maximizing the effectiveness of existing capabilities, making disciplined decisions about when to automate, build, buy, or use external partners, and holding security partners accountable to measurable outcomes. - Drive disciplined execution across the security engineering and operations portfolio through effective prioritization, roadmap and backlog management, capacity planning, metrics, ownership, and operating cadence. - Lead, coach, and develop managers, engineers, and analysts, setting clear expectations for technical quality, judgment, ownership, execution, and professional growth. - Strengthen collaboration across Product Security, Security Architecture, Platform, Fraud, Engineering, IT, GRC, Legal, Privacy, and other business functions, creating clear ownership and effective operating relationships across organizational boundaries. - Partner with the CISO on organizational design, workforce planning, hiring, and development of the capabilities required as the Security organization evolves, while providing clear, data-driven communication on security posture, operational performance, significant risks, and strategic priorities. QUALIFICATIONS - 10+ years of experience in information security, with deep experience in Security Operations and meaningful experience across Security Engineering in complex technology environments. - 5+ years of people leadership experience, including multiple years managing managers and senior technical individual contributors. This is not a first-time people leadership role. Demonstrated strength in hiring, coaching, performance management, organizational design, and raising the bar for team quality and execution. - Deep technical expertise in detection engineering, SIEM and telemetry strategy, incident response, and modern security operations, including experience leading significant security incidents. - Proven ability to drive disciplined execution across priorities, roadmaps, backlogs, metrics, and ownership, while maximizing existing capabilities before introducing additional technology. - Experience managing MDR, MSSP, or similar security partners and holding them accountable to measurable operational outcomes. - Experience securing AI-enabled products, enterprise AI adoption, or AI development environments, including risks related to sensitive data, models, agents, third-party services, access, and monitoring. - Strong judgment and relationship-building skills, with a track record of working effectively across technical, product, risk, legal, and senior leadership teams. - Experience in health technology or another sensitive-data environment is a plus. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $220,000-$245,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Colombia; Costa Rica Workplace: remote Provectus is a Premier AWS Partner and an Anthropic partner, featured in Forrester's AI Technical Services Landscape. We are roughly 420 engineers building production AI for enterprise clients in Financial Services, Healthcare and Life Sciences, Retail, and Entertainment. We build custom systems on live client data, not off the shelf products and not demos. We are opening a Solution Owner seat on our Delivery team in Colombia and Costa Rica. This is an early career seat, but it is not a training seat. You will sit between the client and the engineering team on a real engagement, own a slice of scope, and be expected to figure out the next step yourself. The profile we are looking for is specific: you started technical, as a software, data, or ML engineer, and you have already moved toward the business side of building products, or you are ready to make that move now. You are the person on the team who automates their own work with AI tools before anyone asks. What You Will Do: Own a defined slice of a client engagement, from use case framing through backlog, release, and result Run discovery sessions and workshops with client stakeholders, and turn what you hear into written scope engineers can build against Translate technical constraints into business language, and business goals into technical requirements Maintain a groomed backlog with sized, technically specific stories, and drive sprint planning and release cadence Prototype rapidly on live client data using our delivery stack, including Claude, Claude Code, MCP servers, and Skills Work alongside GenAI and agentic AI builds, including RAG, agent workflows, and LLM integrations, closely enough to judge quality and explain trade offs Define success metrics for your slice of scope and report progress honestly, including when something is not working Build reusable artifacts, demos, and documentation so the next engagement starts faster than yours did Partner with Principal Architects, Forward Deployed Engineers, and account teams across US and LATAM time zones What You Will Bring: 2 to 4 years of total professional experience, including hands on engineering time as a software, data, or ML engineer At least 1 year in a product, delivery, or client facing role such as Product Owner, Technical Product Owner, Business Analyst, Delivery Lead, or equivalent Daily use of GenAI tools in your own workflow, Claude and Claude Code preferred, with concrete examples of workflows you redesigned Ability to read code and technical documentation well enough to hold a real conversation with senior engineers Practical Agile and Scrum experience: backlog, sprints, planning, retrospectives Written and spoken English at B2 or above, comfortable leading a client call without a manager in the room Self direction as a default. You are given a goal and ambiguity, not a task list, and you move anyway Based in Colombia or Costa Rica Nice to Have: Exposure to Financial Services and Insurance or Healthcare and Life Sciences clients Working understanding of GenAI concepts: prompt engineering, RAG, embeddings, vector databases, agentic patterns Familiarity with AWS, especially Bedrock, SageMaker, Lambda, or S3 Experience shipping an LLM or RAG feature that reached real users Experience building your own automations, scripts, MCP integrations, or internal tools Consulting or professional services background Certifications such as CSPO, SAFe PO/PM, or AWS Cloud Practitioner What We Offer: Real client delivery on frontier AI from month one, not shadowing Direct access to Principal Architects and Forward Deployed Engineers as your working peers Anthropic and AWS partnership work, with early access to tooling and premium AI subscriptions Internal training programs and full support for AWS and Claude certifications A clear growth path toward Senior Solution Owner or Solutions Architecture Remote work with flexible hours across US and LATAM overlap Long term B2B collaboration Equipment budget and all the tooling you need

Location: New York, NY Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... We are building a world-class marketing organization at Duolingo with the goal to make a significant impact on the company's rapid global growth. For this growing team, we're looking for a curious marketing analytics manager to help us build the foundations of measuring and understanding the impact of our media spend. You will play a key role in enabling data-driven marketing campaigns for Duolingo. 🧠  You will... Create data-driven insights about the impact of our global performance marketing campaigns Develop new approaches to grow our user base through data-driven marketing optimization Partner with our data science team to better understand our new user cohorts and user behaviors Act as a thought partner in defining marketing key performance indicators and tracking progress against target metrics Mold data from multiple sources to answer key strategic marketing questions Partner with marketing tech to influence and prototype backend data design, build intuitive and readable dashboards using visualization tools (e.g., Tableau), and extract actionable insights Bridge analytics and marketing, speaking both languages ✅  You have... Minimum of a Bachelor's degree in Statistics, Mathematics, Economics, or another related STEM degree field Experience as a marketing analyst working with data from digital campaigns, including using data to inform strategic campaign decisions Strong ability to condense complex concepts and analysis into clear and concise takeaways that drive action Strong expertise using SQL to extract, clean, and transform data in large, complex, nested, databases Proficiency with data visualization tools such as Tableau or Data Studio for data analysis, insight synthesis and presentation Demonstrated strong intellectual curiosity Able to work in our New York office ⭐  Exceptional candidates will have... Hands-on experience running and optimizing digital app install campaigns Expertise working with R, Python, or  other statistical software An impressive Duolingo XP or streak! The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $154,700 — $209,300 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Задачи: • Разрабатывать и поддерживать высоконагруженные сервисы на Go; • Проектировать и реализовывать pricing models, pricing formulas и алгоритмы оценки активов; • Разрабатывать алгоритмы для обработки и анализа рыночных данных; • Интегрироваться с внешними API, в том числе с частично документированными или undocumented API; • Работать с web-источниками и извлекать данные из неструктурированной и частично структурированной информации; • Проектировать и реализовывать распределённые механизмы взаимодействия между сервисами; • Автоматизировать процессы, связанные с торговыми и рыночными системами; • Оптимизировать решения с точки зрения производительности, надёжности и масштабируемости; • Взаимодействовать с quantitative analysts и другими разработчиками: переводить аналитические идеи и гипотезы в работающие production-решения; • Самостоятельно разбираться в open-ended задачах. Требования: • Коммерческий опыт разработки, включая существенный опыт с Go; • Уровень — Senior или сильный Middle, который способен самостоятельно решать сложные инженерные задачи; • Хорошее понимание принципов software engineering, архитектуры, масштабирования и оптимизации производительности; • Умение работать с API и данными при неполной или отсутствующей документации; • Способность обрабатывать и парсить частично структурированную информацию; • Сильные аналитические навыки, готовность работать без пошаговой инструкции и брать ответственность за результат. Будет плюсом: • Опыт в fintech, trading, market data, quantitative development. Условия: • Полностью официальная белая зарплата; • Работа из современного офиса в Лимассоле (район Гермасойя, Колонакиу); • Возможность начать удалённо, если вы находитесь не на Кипре; • Полноценный релокационный пакет: компенсация авиабилетов (в том числе для семьи), 1 месяц проживания, покрытие визовых расходов, организация и сопровождение процесса переезда.

Location: Los Angeles, USA As a Revenue Accounting Manager , you’ll be in charge of certain areas of the game revenue accounting at Riot Games.  This involves critical accounting player life estimates, big data transaction reconciliation and automation for micropayments, devising structure to address controls and risks including for accounts receivable, and thoughtfully developing the technical accounting for emerging revenue issues.  To be successful, you’ll need to be flexible working at both a review level and a hands-on detailed level.  You will drive projects forward and collaborate with other teams including Finance, Game teams, Payments, Legal, Data, and accounting teams in our global offices. This position reports to the Accounting Director and will play a key leadership role in the overall Accounting organization around change management, improving processes and controls, scaling accounting, company infrastructure and operations. Responsibilities: Deeply understand Riot’s statistical player life estimate calculation and work with a data analyst to maintain it.  This includes doing analysis to explain changes, working on audit deliverables, and understanding how this estimate would apply to new products. Reconcile large sales datasets with engineering team across the order to cash process.  This data would include information from international payment processors with unique fees, FX, and taxes. Further develop processes and automation with the engineering team to increase efficiency and scope of the large data reconciliation noted above.  This includes project management, understanding system data flows, and cross team collaboration. Research and formalize technical accounting including Principal vs Agent, Point in Time vs Over Time, Costs to obtain a contract, and Consideration payable to a customer. Review draft contracts to ensure smooth technical accounting. Build out approaches and systems to address key risks such as receivables collectability and chargebacks monitoring. Project manage and oversee certain day to day, period end close, and audit related activities Implement improved approaches to internal revenue data and systems.  This may include implementing a more sophisticated revenue system and the related processes Mentor team staff Manage relationships with external auditors to ensure timely completion of annual audits and reviews Required Qualifications: A bachelor's degree in Accounting or Finance. Big 4 experience and a CPA designation is required. 6+ years of progressive experience with at least 3 years in a leadership role in a fast paced environment.  Multinational experience is required. Project manage key areas with multiple groups.  Organize and prioritize effectively and meet deadlines while maintaining quality. Analytical, interested in deeply understanding areas, consider why an approach is better than 1-2 alternatives. Some statistical experience, ideally in relation to critical accounting estimates. Strong understanding of revenue recognition in a technology/entertainment company Comfortable working with big data processes and engineer / analysts for high volume revenue transactions. Strong leader in training and developing high-performing individuals with a clear commitment to the development and engagement of the team.  Effectively listen and demonstrate an effective, collaborative approach. Desired Qualifications: Operational experience including global high volume credit card transactions and B2B transactions. Experience with gaming industry player life statistical estimates or similar. Solid experience with one or more financial ERP systems, preferably Oracle For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: San Francisco Bay Area, California; New York City Metropolitan Area Workplace: remote About the role: Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. We embed engineers and leaders inside client operations as Forward Deployed Engineers (FDE) and Forward Deployed Executives (FDX) — people who learn the work, ship the system, and own the outcome. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Bluprints. You will do the customer’s job before you automate it. Most AI engagements fail the same way: someone gathers requirements, someone writes a PRD, and a team ships a workflow nobody uses. We think the requirements-gathering step is the bug. So we remove it. A Forward Deployed AI Engineer at Provectus spends the first weeks of an engagement in the operator’s seat — as the underwriter, the analyst, the RCM specialist, the claims clinician, whoever actually does the work we’ve been asked to change. You do the job. You learn the constraints from the inside, the ones nobody writes down. Then you sit at a table with that operator and a Forward Deployed Executive and rebuild the function from first principles — and you are the one who builds it. Three things define how you work: Embedded, not engaged . You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Real tasks, not scope . You are not fenced into a siloed deliverable. You go where the operating problem is. Autonomous . Embedded is not staff-augmented. You own the method; nobody hands you a ticket. You won’t start from zero. Provectus builds industry blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. That loop is the difference between an outcome and an invoice. You’ll be measured on whether the Business Unit’s number moved — not on hours, not on scope delivered. This is a role for engineers who have led before — as a founder, a CTO, a staff engineer — and who want to stay in the code while owning the outcome. On most days you’ll be the most senior technical person in the room, and you’ll still be the one shipping. Requirements: 8+ years building software , a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. You will take the operator’s seat. You are genuinely willing to spend weeks doing someone else’s job — claims processing, underwriting, revenue-cycle work — before you write a line of code. Engineers who need to stay in the IDE should not apply. You learn domains fast. Demonstrated ability to become conversant in an unfamiliar business function quickly enough to argue with the people who do it for a living. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus): containers, Kubernetes/ECS, IaC, CI/CD, and the operational reality of a system someone else inherits. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Solid AI/ML foundations — you understand what the models do well enough to reason about failure modes, not just call the API. Strong hands-on prodcution experience with Claude Code/Cowork. Fluent English, written and spoken. Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution. Real depth in one of our blueprint industries: financial services, insurance, healthcare, asset management . Consulting, professional services, or other embedded customer-facing delivery. Data platform depth: data lakes, warehouses, streaming and real-time analytics, data mesh and data contracts, governance and data quality. MLOps and classical ML: PyTorch, SageMaker, MLflow. Fine-tuning, distillation, or inference/serving optimization. Graph databases (Neo4j, AWS Neptune). IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Take the seat Do the operator’s job for two to four weeks at the start of an engagement. Learn the function from inside, not from a requirements doc. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow — in weeks, not quarters. Sit with the operator and the Forward Deployed Executive and redesign the function from first principles. Discovery, user research, and PRD-writing collapse into one team that re-imagines its own job. You are all three roles. Build Ship production GenAI systems into the customer’s environment — LLM applications, agentic workflows, retrieval and structured-extraction pipelines, and the services around them. Running software, not recommendations. Build the evaluation harness before you build the feature. When the engagement is bound to a business KPI, “it looked good in testing” is not an answer. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — backend services, data pipelines, and the AI layer. Python and TypeScript are our centre of gravity; we choose tools to fit the customer, not the résumé. Take systems to production on AWS (GCP/Azure where the customer requires it): containerized, observable, and maintainable after we leave. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Own the outcome Work in a pair with a Forward Deployed Executive who carries the Business Unit’s KPIs. Your work is measured against the same number. Drive adoption. A system the BU routes around has not shipped. Change management is part of the engineering job here, not a phase after it. Be credible with the customer’s engineers, their operators, and their executives — and be willing to disagree with all three. Shape what we commit to before we commit to it. You’ll have the standing to do it, because you’re the one who will build it. What We Offer: Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare The chance to shape how leading enterprises adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. OTE range: up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. How we hire: Intro conversation — the role, your background, what you want to be doing. Two live engineering sessions. Real problems, your own editor. You may use an LLM assistant (ChatGPT, Claude) — how you work now includes these tools. Autocomplete/agentic coding tools are off for these sessions. The redesign session. We hand you an unfamiliar business function and the constraints of the person who performs it. You have to understand the job well enough to rebuild it — then say what you’d build and how you’d know it worked. No LLMs for this one. Team and practice conversation.

Location: New York, NY Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. Flex is expanding to offer a consumer bill management platform: a hub where users manage both recurring and one-off bills, align payments with their cash flow, and build credit along the way. As we move from a pilot to broader GTM, we're looking for someone who can operate as both the builder of our data foundation and the analyst who turns that data into decisions. This role will work closely with both business leadership and the core data team to focus on modeling data, digging into consumer behavior, pricing and credit dynamics, and setting the standards the rest of the team builds on. What you'll do Build and maintain the core data models (dbt/Snowflake) that power reporting, experimentation, and ML/credit risk use cases Analyze consumer bill payment behavior timing, splitting, delinquency, credit-building outcomes to identify what's working in the pilot and what needs to change Partner closely with Product and Engineering to instrument new features (e.g. bill splitting, smart scheduling, credit-building) so we can measure adoption and impact from day one Design and analyze experiments that test pricing, credit terms, and product flows, establishing causal links between changes and outcomes Create dashboards and self-serve tools that let Product, Risk, and GTM teams track Control Center's pilot-to-scale metrics without needing to come back to Analytics for every question Champion data quality, consistent terminology, and documentation as data footprint grows from pilot to full launch Set technical direction for how Control Center's data models and pipelines scale as new billers, partners, and product surfaces come online; mentor other analysts/engineers and raise the technical bar across the team Key qualifications 7+ years of experience spanning analytics engineering and data science/analyst work Strong SQL and hands-on experience with dbt and Snowflake (or equivalent modern data stack) Experience with BI tools (Sigma, Tableau, Mode, Looker, etc.) and building dashboards that non-technical stakeholders use Track record designing and analyzing experiments (A/B tests or quasi-experimental methods) to drive product decisions Being confident partnering with technical and non technical stakeholders Strong ownership mindset Comfort with credit, risk, or fintech data, as well as curiosity about how consumers manage their finances, is a plus Compensation Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location. Tier 1 (NYC/Bay Area) $184,000 — $225,000 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

Location: United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're hiring a Growth PM to own data and growth experimentation across the full funnel, from landing page through to in-app and pricing. ElevenLabs drives significant paid and organic traffic across self-serve, developer, and enterprise funnels; your job is to turn more of it into subscriptions, pipeline, and revenue. You'll own the experimentation engine end to end: uncovering opportunities through funnel and product data, building and prioritizing the testing backlog, designing and evaluating experiments, and owning the tracking and reporting that turns results into decisions. Your scope runs deeper than conversion optimization: you'll drive experiments across onboarding, activation, and pricing, and align paid media, design, engineering, and product teams around one optimization roadmap. The ideal candidate is equal parts analyst, strategist, and operator: someone who finds revenue hiding in funnel and product data, ships a high-velocity testing program, and communicates results in terms of subscriptions and pipeline, not just conversion rates. REQUIREMENTS - A track record of running high-velocity experimentation programs end to end - hypothesis, prioritization, test design, and analysis - with measurable revenue impact - Experience running experiments beyond the marketing site: in-product (onboarding, activation) and pricing or monetization - Deep analytics fluency: comfortable living in product analytics tools (e.g., PostHog, Amplitude, GA4) to diagnose funnel drop-off, segment traffic, and attribute outcomes across multi-domain journeys - Strong statistical literacy: you know how to size tests, avoid false winners, and choose the right success metric (revenue and subscriptions over clicks) - A cross-functional operator who can align paid media, design, engineering, and product teams around a shared optimization roadmap Bonus - Working front-end web development skills (HTML, CSS, JavaScript, React) to build test variants without waiting on engineering - Experience optimizing PLG/self-serve funnels alongside sales-assisted (demo/contact-sales) funnels LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw. #Li-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Limassol, Cyprus; Tbilisi, Georgia Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team We develop and implement machine learning and AI solutions across a range of products: AI assistants, customer support chatbots, intelligent data processing, generative AI features, recommender systems, spam detection, search and other ML-powered modules. Our goal is to build reliable ML and AI systems that solve real product problems — from experimentation and prototyping to production integration and continuous improvement. Responsibilities Designing and implementing ML and AI modules for various products, from experimentation and prototyping to production integration Building solutions based on LLMs and other ML/NLP approaches for data processing, generation, search, assistants, bots, agents and automation Choosing and evaluating appropriate approaches — including external AI providers, open-source or self-hosted models, as well as traditional ML/NLP methods Contributing to the architecture of ML solutions, shaping technical approaches and engineering standards Preparing and processing data, training models, running A/B tests, and analyzing results Monitoring and improving model performance, interpreting model behavior and key metrics Evaluating AI-system quality, analyzing failure cases and improving models, prompts, data and system architecture Collaborating with product managers, engineers, and analysts to clarify requirements, integrate solutions, and evaluate their impact Working with MLOps infrastructure: CI/CD, monitoring, logging, containerization What makes you the perfect fit 3+ years of experience in ML engineering and building production-ready ML systems Strong practical expertise in NLP, LLMs, AI assistants and related AI/ML areas Experience with both modern LLM-based systems and traditional ML/NLP approaches such as classification, ranking, retrieval, semantic similarity and information extraction Strong track record of delivering end-to-end ML solutions — from idea and data to production and support Proficient Python skills and experience with production-grade development Experience evaluating ML/AI solutions and understanding their quality, reliability, latency and cost trade-offs Solid knowledge of A/B testing and result interpretation Experience in architectural decision-making and a drive to improve engineering practices Familiarity with tools like Docker, Kubernetes, CI/CD systems, monitoring (e.g. Prometheus, Grafana), and logging Will be a plus Product-oriented mindset and understanding of business metrics Experience building real-time and high-load ML systems Experience with open-source or self-hosted models Familiarity with modern MLOps tools (e.g. MLflow, Airflow, Kubeflow) Experience evaluating the UX of AI-driven interactions What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Location: Nairobi Workplace: Hybrid ABOUT THE COMPANY Nuru Solutions is a B2B agricultural data intelligence platform operating across Kenya, Malawi, Nigeria, and Somalia. We combine satellite imagery, weather data, ground truth, and machine learning to deliver farm-level intelligence to insurers, lenders, and agribusinesses serving smallholder farmers.   Our platform powers six core analytical pillars: crop health monitoring, yield prediction, risk profiling, farm boundary detection, credit risk, and market price forecasting. We achieve 80–98% accuracy through a hybrid approach that fuses multi-source satellite data, ML models, and validated ground-truth data, a combination that outperforms single-source competitors. ABOUT THE ROLE Nuru is at an inflection point. We have validated product-market fit with, have a growing institutional pipeline, and proven model accuracy across multiple countries. As we scale from pilot delivery to commercial-grade operations, we need a senior ML leader who will own the integrity, reproducibility, and continuous improvement of every model we ship.   This person will be responsible for transforming Nuru’s ML function from a talented-but-informal operation into a rigorous, scalable, and auditable system that institutional clients can rely on. WHAT YOU WILL DO 1. Model Ownership & Lifecycle - Own the complete ML lifecycle - Lead model development, training, validation, deployment, and ongoing performance monitoring for all production models. - Architect and maintain reproducible ML pipelines on AWS, ensuring all models are version-controlled, documented, and independently reproducible. - Drive multi-crop expansion (from maize to beans, sorghum, potatoes, and horticultural crops) and cross-country model generalisation across diverse agroecological zones and cropping calendars. 2. Governance, Validation & Quality - Own and enforce Nuru’s Model Validation Protocol, including the Test 1 / Test 2 distinction: internal holdout results (Test 1) are for internal use only; independent field validation (Test 2) is the sole metric approved for external reporting. - Execute and maintain Model Validation & Sign-Off Reports for all production models (19 models currently require individual sign-off). - Lead Quarterly Model Governance Reviews, documenting model health, drift, and accuracy trends. - Enforce the model change protocol: no model modification ships without documented justification, before/after accuracy comparisons, and sign-off. - Establish pre-delivery quality assurance for all client-facing datasets and analytics, including automated checks for data integrity issues (e.g., impossible values, distribution anomalies). 3. Ground-Truth & Data Strategy - Design and oversee ground-truth data collection strategies, integrating field surveys (KoboToolbox), drone imagery, crop-cut samples, and in-person validation. - Work with sparse, noisy, and incomplete ground-truth data typical of smallholder agriculture contexts, developing robust approaches to training and validation under data scarcity. - Collaborate with operations teams across Kenya, Malawi, Nigeria, and Somalia to ensure field data quality and timeliness. 4. Team Leadership & Stakeholder Communication - Mentor and develop junior data science team members, establishing standards for code quality, documentation, and peer review. - Collaborate with product, engineering, and client-facing teams to translate model capabilities into actionable intelligence delivered via dashboards, APIs, SMS/WhatsApp, and client reports. - Defend model methodology and accuracy claims to institutional partners, including actuaries, risk analysts, and underwriters at organisations like Swiss Re and FSD Africa. - Present technical findings clearly to non-technical stakeholders, including investors, board members, and partner executives. WHAT YOU HAVE Must-Haves (Required) - 7+ years of professional experience in machine learning, with demonstrated expertise in geospatial ML, remote sensing, or agricultural applications. - Hands-on experience with satellite imagery analysis (Sentinel, Planet Labs, or similar), vegetation indices, and time-series modelling for crop or environmental applications. - Proven track record building ML governance and quality systems — ideally in environments where formal processes did not previously exist. - Strong MLOps foundation: version control (Git), model registry, experiment tracking, reproducible training pipelines, and deployment automation. - Experience managing or mentoring small technical teams (2–5 people) in fast-moving, resource-constrained environments. - Comfort working with sparse, noisy, or incomplete datasets and designing robust validation approaches under data scarcity. - Ability to communicate technical complexity clearly and credibly to institutional clients, investors, and non-technical leadership. - Self-directed problem-solver who thrives in early-stage environments where you build the systems, not just use them. Strongly Preferred - Understanding of agricultural systems and smallholder farming contexts in East or Southern Africa. - Experience with AWS cloud infrastructure (S3, EC2/ECS, IAM) for ML workloads. - Familiarity with insurance, credit risk, or financial product design in agricultural or development contexts. - Experience with ensemble methods (Prophet, LSTM, XGBoost), CNNs, and foundation models (SAM or similar) in production settings. - Prior work with ground-truth data collection programmes (crop cuts, field surveys, drone validation). WHAT WE OFFER - A company recognised as one of the 30 most promising African startups - A validated impact: 25,000 farmers served - Direct collaboration with the CEO and a lean, mission-driven team across four countries. - The opportunity to build the ML governance and infrastructure layer for a platform that is becoming critical data infrastructure for African agrifinance.

Location: Tokyo Workplace: Remote Global Services is the centre of expertise at Chainalysis — the team that translates our platform, data, and investigative capabilities into real-world impact for customers across law enforcement, national security, financial institutions, and the broader crypto ecosystem. Chainalysis is seeking a Deployment Strategist to join Global Services as a core technical practitioner. This is not a traditional services or solutions engineering role. Deployment Strategists are embedded technical experts who own the full lifecycle of customer value — from problem discovery and investigation through solution design, deployment, and customer enablement. The role sits at the intersection of blockchain investigation, data analytics, domain expertise, and customer partnership. You will work directly with customers to understand their mission, conduct investigations, build tailored solutions, and enable customer teams to operationalise Chainalysis independently. Success requires deep investigative capability, genuine domain expertise, technical skill, and the ability to build trusted relationships through credibility — not just communication. This is the role that makes Chainalysis essential to how our customers operate. In this role, you’ll: - Own end-to-end customer engagements — from discovery through investigation, solution design, deployment, enablement, and ongoing value delivery - Conduct blockchain investigations across the Chainalysis platform, applying tracing, OSINT, and analytical techniques to real customer problems - Partner directly with customers to understand investigative, intelligence, compliance, or operational objectives and translate them into actionable outcomes - Design, build, and maintain custom workflows, notebooks, dashboards, queries, and data models using Chainalysis data and products - Enable customers to operate solutions independently — building their capability so that Chainalysis becomes embedded in their operational infrastructure - Act as the primary technical and domain advisor for your customers, building trusted relationships through hands-on expertise and credibility - Deliver live training, demos, investigative walkthroughs, and technical briefings to both technical and non-technical audiences - Support pre-sales technical engagement for complex and strategic deals — helping customers understand what's possible and how to get there - Collaborate closely with Product, Engineering, Global Intel, and Sales to influence roadmap and improve offerings based on field intelligence - Develop and share domain expertise, investigative techniques, and best practices that raise the capability of the wider GS team We’re looking for candidates who have: - Conducted or directly supported cryptocurrency investigations, blockchain intelligence work, or financial crime analysis in an operational environment - Deep familiarity with blockchain ecosystems (BTC, ETH, stablecoins, DeFi) and how on-chain data is used in investigations, compliance, or intelligence workflows - Delivered customer-facing technical solutions — whether investigative outputs, data products, or analytical workflows — in complex, real-world environments - Worked directly with customers in law enforcement, national security, intelligence, compliance, financial crime, or security-focused domains - Built insights from large or complex datasets and communicated findings to varied audiences — from analysts to executives - Operated successfully in fast-paced, ambiguous environments requiring ownership, adaptability, and sound judgment Required Skills: Technical Skills - Proficiency in Python and SQL for data analysis, transformation, and solution development - Experience building notebooks, dashboards, and analytical workflows - Solid understanding of data modelling, querying, and working with large datasets - Ability to quickly develop deep expertise in Chainalysis data structures, schemas, and products Domain Expertise - Substantive knowledge of at least one domain: financial and cyber crime investigations, sanctions and compliance, fraud, national security, DeFi/protocol security, tax, or private sector risk - Understanding of how customers in your domain operate — their workflows, regulatory environment, and what success looks like for them - Ability to apply domain knowledge to shape investigation approach, solution design, and customer advisory Customer & Communication Skills - Proven ability to build trusted, long-term customer relationships through technical and domain credibility - Excellent communication skills — can explain complex investigative and data concepts to non-technical stakeholders - Comfortable leading customer sessions, workshops, training, and technical working groups - Experience enabling and upskilling customer teams — not just delivering outputs, but building customer capability Day-to-Day Activities - Conduct investigations and analytical work using Chainalysis tools (Reactor, KYT, Data Solutions) in response to customer needs - Develop and maintain technical artifacts — Python notebooks, SQL queries, dashboards, investigative reports — tailored to customer use cases - Work side-by-side with customers to design workflows that operationalise Chainalysis data in their environment - Enable customer teams through hands-on training, walkthroughs, and knowledge transfer — so they can operate independently - Deliver live demos, investigative briefings, and solution presentations - Support pre-sales activity — technical discovery, proof-of-value sessions, and solution scoping for prospective customers - Gather feedback from customers and translate it into actionable recommendations for Product, Engineering, and Global Intel - Contribute to live training delivery in your domain of expertise - Support multiple customers concurrently while maintaining quality and responsiveness - Develop your domain specialism through continuous learning, case work, and engagement with the broader investigations and intelligence community Personal Attributes - Highly curious and continuously learning about blockchain technology, investigations, and emerging threats. - Strong customer focus with a genuine desire to help customers succeed in their mission. - Self-starter who thrives in ambiguous environments and takes ownership of outcomes. - Collaborative, adaptable, and comfortable operating across teams and functions. - Deeply curious about blockchain technology, crypto crime, investigations, and the evolving threat landscape - Strong customer focus with a genuine desire to help customers succeed in their mission — whether that's making an arrest, filing a SAR, or building a compliance programme - Credibility-driven — earns trust through expertise and delivery, not just presentation - Self-starter who thrives in ambiguous environments and takes ownership of outcomes - Collaborative, adaptable, and comfortable operating across teams and functions - Committed to developing deep domain expertise — not satisfied with surface-level knowledge Nice to have experience: - Direct experience with Chainalysis products - Background in law enforcement, intelligence, or military investigations - Experience providing expert evidence or supporting legal proceedings - Familiarity with compliance frameworks (BSA/AML, sanctions screening, MiCA, Travel Rule) - Experience with data engineering tools and platforms (e.g., Databricks, Snowflake, cloud-based analytics) - Published research, intelligence products, or thought leadership in blockchain analytics or financial crime AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. ABOUT THE ROLE As a Senior Data Engineer, you will play a key role in building and scaling the data platform that powers analytics across Trust Wallet. You'll be responsible for designing, developing and maintaining data pipelines and data models, ensuring a seamless, scalable and reliable flow of data from source systems through to the decisions it supports. Leveraging your experience with Databricks and Spark across both streaming and batch workloads, dbt or a similar transformation framework, cloud infrastructure, and custom solutions in Python, you'll work closely with our data analysts and engineering teams to turn data into a strategic asset for our company. KEY RESPONSIBILITIES - Data Platform Engineering: Architect and maintain robust, scalable and secure data infrastructure on Databricks, covering both streaming and batch workloads. - Data Pipeline Development: Design, develop and maintain data pipelines, primarily in Python and Spark, to automate ingestion and transformation across internal systems, external providers and on-chain sources. - Data Modelling: Design and maintain dimensional data models and transformation layers in dbt, with tests and documented contracts, so metrics are consistent and reusable across the company. - Data Lake Management: Oversee the data lake and lakehouse layers, ensuring efficient storage, effective partitioning, high data quality, and monitoring and alerting that surfaces issues early. - Integration and Customisation: Integrate Databricks with a wide range of data sources, including change data capture from operational databases, third-party APIs and blockchain data, and adapt data flows to specific business needs. - Performance, Scalability and Cost: Optimise pipelines and storage for performance, reliability and cost efficiency at scale. - Data Governance and Security: Apply best practices for governance, security and compliance in cloud and Databricks environments, including access control, encryption and monitoring. - Collaboration and Documentation: Work closely with platform engineers, data analysts and other stakeholders to understand data requirements, and document infrastructure, models and best practices. REQUIRED QUALIFICATIONS - Experience in Data Engineering: 3+ years as a Data Engineer, with hands-on ownership of production pipelines and lakehouse or data warehouse architecture. - Databricks and Spark: Strong practical experience with Databricks, Delta Lake and Spark, including both streaming and batch processing, and the judgement to choose between them. - Data Modelling: Solid understanding of dimensional modelling, slowly changing dimensions and data warehouse design, with the ability to define and defend the grain of the models you build. - Transformation Frameworks: Experience with dbt or an equivalent framework for managing transformations, testing and lineage. - Cloud Proficiency: Strong cloud fundamentals, including identity and access management, object storage, networking and infrastructure as code. We run on AWS; deep experience with Azure or GCP transfers well. - Proficiency in Python and SQL: Comfortable writing production transformations as well as services and connectors. - Data Quality and Governance: Experience implementing testing, monitoring and governance practices in cloud data environments. PREFERRED SKILLS - Experience with change data capture and replication from operational databases - Familiarity with blockchain or on-chain data - Infrastructure as code, ideally Terraform, and CI/CD for data workloads - Experience with BI and semantic layers such as Holistics, Looker or similar - Containerisation and orchestration (Docker, Kubernetes) ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.