Technical Onboarding & Engagement Manager

Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. Base Salary Pay Range: $117,500 — $147,500 AUD Flexible Workplace Strategy Algolia’s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual’s impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when. We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the role it may be available with either a hybrid-remote or in-office schedule. Your Role Will Consist Of Partnering with Account Executives and Solution Engineers to ensure a structured and efficient pre-to-post sales handoff, validating scope, success criteria, resource allocation and implementation readiness. Defining AI Search requirements and detailed project plans in collaboration with Professional Services teams. Owning technical engagement management across a portfolio of onboarding services, serving as the primary point of contact, while leading day-to-day execution and high performing culture alongside Solutions Architects, Business Consultants, and Engineering. Partnering with Global System Integrators (GSI) on product, service and delivery strategies. Driving project governance and accountability, managing milestones, dependencies, deliverables, hours/budget, and quality expectations. Providing clear, structured communication on project health, progress, risks, and strategic recommendations to customer, internal stakeholders and executives. Proactively identifying and mitigating risks, removing blockers, and executing contingency plans to protect timelines and outcomes. Acting as the voice of the customer when product gaps are identified, raising awareness as needed. Recognizing opportunities for upselling of professional services due to Onboarding extension requirements, customer engagement structure requirements and project velocity that would not be met by the post go live Foundation support model. Leading structured post-go-live transitions to the Customer Success Manager and Technical Account Owner, ensuring effective knowledge transfer, clear ownership, and sustained customer confidence post-launch. Contributing to the scalability of the Engagement Management Practice by identifying opportunities to automate and optimize onboarding processes, tools, and playbooks. You Might Be A Fit If You Have 4+ years working knowledge of search, data, and AI technologies, with the ability to translate business requirements into structured implementation plans 5+ years of customer-facing Technical Engagement Management experience in an agency or SaaS environment, working closely with Solutions Architects or Engineering across engagements throughout the IT project lifecycle. Experience applying project management methodologies such as Waterfall, Scrum, Kanban, or hybrid models to deliver successful outcomes Demonstrated ability to operate effectively in a fast-paced, dynamic environment with strong organizational discipline and attention to detail. Nice To Have Project Management or Agile Certification (PMP, SAFe, Six Sigma) Technical degree in computer science, engineering, or related quantitative field Understanding and use of project management systems which may include Smartsheet, MS Office, Jira | Atlassian, Google Suite, Salesforce, Thoughtspot, Asana, Gainsight and Toggl Working knowledge of SQL #J-18808-Ljbffr Algolia