{"id":4224367,"url":"https://alion.io/job/aircall-head-of-data-data-science-and-data-engineering","title":"Head of Data (Data Science and Data Engineering)","company":{"id":52973,"name":"Aircall","domain":"aircall.io","url":"https://alion.io/company/aircall","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":100,"open_postings":7,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":47,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Voice Agents","optional":false},{"name":"WhatsApp","optional":false}],"status":"live","first_seen_at":"2026-11-13T00:57:17Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T07:04:57Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Aircall is a unicorn AI-powered communications platform transforming how teams win with customers.\nFor over a decade, we’ve believed voice builds the strongest business relationships. We bring voice, SMS, WhatsApp, and 250+ integrations together on one seamless workspace-so every customer conversation drives revenue, resolves issues faster, and builds trust. Our AI Voice Agents handle routine interactions while your team leads the conversations that matter most. Used by 24,000+ businesses worldwide.\nWe’re 600+ people from 40+ nationalities across Paris, London, Madrid, Berlin, New York, San Francisco, Seattle, Sydney, and Mexico City. We’re ambitious, product-driven, and execution-focused-built for visible impact, fast decisions, and real growth.\nCome join us!\nThe Opportunity\nAircall is a place where voices are valued. Data is the backbone of how we make decisions, powering the products, insights, and customer experiences that drive our revenue and profitability. As our Head of Data, you will lead both our Data Science and Data Engineering teams and set the vision for how Aircall uses data and AI to grow. You will own the full data lifecycle, from the platform and pipelines that make data trustworthy to the models, experiments, and insights built on top of it, and you will build a world-class data organization along the way.\nKey Responsibilities:\nDefine and execute Aircall’s end-to-end data strategy across data science, analytics, and data engineering, tied to company goals and measurable business impact.\nLead, mentor, and grow the Data Science and Data Engineering teams, including hiring, career development, and a culture of ownership.\nSet standards and best practices for data quality, governance, and security across both teams.\nOwn the data platform architecture (pipelines, warehousing, orchestration, and reliability) so data is trusted, scalable, and accessible across the company. \nPartner up with the product and engineering teams on feature launches, A/B testing and rapid experimentation.\nPartner with the GTM teams to land accurate numbers of ARR forecasting, customer segmentation, segment targeting and enhancing sellers/AMs day to day productivity with AI enhanced insights on prospects and existing customers\nKeep the team current on emerging research and technologies, and apply them to product design and development.\nCommunicate insights and recommendations clearly to stakeholders at every technical level, up to the executive team, and build trust by addressing their real needs.\nQualifications:\nRequired\n10-15 years of experience in data science and data engineering, including 5+ years in people leadership.\nExperience leading leaders (managers or senior individual contributors) and owning a team across product and GTM data science and data engineering.\nTrack record of setting and executing a multi-year data strategy that earned executive support and delivered measurable business impact.\nHands-on understanding of modern data infrastructure: pipelines, warehousing, orchestration, and cloud data platforms.\nExperience deploying ML or AI systems to production at scale.\nTechnical credibility across data science and data engineering, with a solid grounding in statistics, machine learning, and causal inference, enough to guide architecture, hiring, and prioritization decisions.\nWorking proficiency in SQL and Python.\nAbility to communicate data concepts clearly and concisely to executives and cross-functional partners.\nPreferred\nB.S, M.S. or PhD in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or another quantitative field.\nKnowledge of NLP, LLMs, or Bayesian testing.\nCoachable, resilient, and solution-oriented, with a bias toward action and a love of a good challenge.\nPrior startup experience\nBase salary range:\n$300,000—$350,000 USD\nWhy join us?\nKey moment to join Aircall in terms of growth and opportunities\nOur people matter, work-life balance is important at Aircall\nFast-learning environment, entrepreneurial and strong team spirit\n45+ Nationalities: cosmopolite & multi-cultural mindset\nCompetitive salary package & benefits\nDE&I Statement: \nAt Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey. \nWe pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive. \nWe will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.\nWant to know more about candidate privacy? Find our Candidate Privacy Notice here.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. 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