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We are looking for a highly analytical and performance-driven User Acquisition Manager to join our team and help scale our global user growth efforts. In this role, you will own acquisition and re-engagement activities across multiple paid media channels, optimize campaigns at scale, and drive measurable impact on user growth and business performance.

This is an exciting opportunity for someone who combines strong performance marketing expertise with a passion for data, experimentation, AI-driven innovation, and mobile app growth.

Responsibilities
Own and manage user acquisition, re-engagement, and retention campaigns across multiple advertising channels, including Meta, Google Ads, Apple Search Ads, DSPs, OEMs, and ad networks.
Monitor, analyze, and optimize campaigns to achieve and exceed growth KPIs, including installs, registrations, retention, engagement, and revenue targets.
Plan, execute, and scale innovative growth initiatives, experiments, and A/B tests to improve acquisition efficiency and user quality.
Build and maintain strategic relationships with media partners, advertising platforms, and agencies.
Provide regular performance reporting, insights, and recommendations to internal stakeholders and external partners.
Collaborate closely with Product, Content, Data, and Business Development teams to align marketing activities with product launches, sports calendars, and engagement initiatives.
Work with the creative team to continuously test new ad creatives, messaging, and formats across different markets and audiences.
Analyze user behavior, attribution data, cohort performance, and conversion funnels to identify growth opportunities.
Support expansion into new markets through competitive analysis, market research, and audience insights.
Stay updated on industry trends, privacy changes, attribution solutions, mobile measurement, and best practices across performance marketing channels.

Were looking for a Analytics Engineer to own the data and analytics foundation that helps Product, Growth, Customer Success, R&D, and leadership make better decisions.
Youll own the path from raw data to actionable insight - building reliable models, defining key metrics, analyzing product and business performance, and communicating what the data actually tells us.
What youll do:
Analyze product and business performance: Track core KPIs, investigate trends and anomalies, and analyze product usage, feature adoption, customer behavior, funnels, and retention to identify opportunities for improvement.
Turn data into actionable insights: Translate analytical findings into clear recommendations that help Product, Growth, Customer Success, and leadership make better decisions.
Evaluate product initiatives: Measure the impact of new features, product changes, and experiments using appropriate analytical and statistical methods.
Own analytical data models: Develop and maintain reliable, well-structured data models that support consistent metrics, self-service analytics, and trusted business reporting.
Improve the analytics foundation: Contribute to the evolution of our analytics infrastructure, data quality, and tracking in collaboration with Engineering and other stakeholders.
Build and communicate insights: Develop dashboards and targeted analyses, and present findings clearly to technical and non-technical stakeholders, connecting results to business impact.

we are looking for a Clinical Data Labeler.
The Clinical Data Labeler contributes significantly to the training of our AI models, which aim to enhance the quality of life for senior citizens. This position involves meticulously tagging and classifying textual data based on clinical and technical criteria to ensure high-quality AI training datasets.
Key Responsibilities:
Review and analyze clinical textual data, including speech and other relevant sounds.
Accurately tag and classify textual data using clinical and technical criteria.
Collaborate with the AI team to refine and improve labeling guidelines.
Communicate regularly with the team to report challenges, suggest improvements, and ensure consistent data labeling.
Maintain a high level of attention to detail to ensure quality and accuracy in data labeling.

We're looking for a hands-on, detail-oriented IT Specialist (Student Position, 60%) to join our IT team. You'll support day-to-day IT operations, help manage our SaaS and device ecosystem, and be a go-to person for employees needing technical support. This is a great opportunity for a student who wants practical, real-world experience across modern IT tools and workflows in a fast-paced AI driven tech company.
Responsibilities:
Deliver responsive and high-quality technical support to internal employees
Support HR-IT processes and employee lifecycle (onboarding/off-boarding) sync with Bob
Manage user identities, groups, access and SSO via Okta
Maintain and support with the Google Workspace ecosystem
Manage and support Slack workspace configuration, channels, and integrations
Manage company devices (Mac) using Jamf MDM (enrollment, policies, compliance)
Support employees' use of AI tools such as Claude, ChatGPT, Gemini and Lovable, Provide basic guidance on models and usage
Handle IT tickets and service requests through Jira ITSM, ensuring timely resolution and proper documentation
Maintain and optimize SaaS management process - tracking licenses, usage, and cost efficiency
Maintain accurate inventory management of hardware and equipment (laptops, peripherals, accessories)
Document processes, create internal guides, and help improve IT workflows
Assist with ad-hoc IT projects as needed

Were looking for a Senior Software Engineer, to design and build scalable, production-grade systems powering Sensis AI-native platform.
This is an AI-native engineering role- AI copilots and tools (such as Claude, Cursor, and Copilot) are a core part of how we design, prototype, and ship software. Engineers at Sensi use AI as a force multiplier to move quickly, iterate rapidly, and focus their time on architecture, system design, and complex problem solving.
Youll work across multiple services, platform infrastructure, and AI-driven capabilities, owning features end-to-end and helping bring intelligent healthcare products from concept to production.
Key Responsibilities:
AI-Native Development - Design and build scalable systems using AI copilots such as Claude, Cursor, and Copilot as a core part of the workflow.
AI-Powered Features - Develop and integrate AI-driven capabilities and pipelines into production systems.
End-to-End Ownership - Own features from architecture and development through deployment and monitoring.
Cloud Infrastructure - Build and operate scalable cloud-native systems on AWS.
Collaboration & Engineering Excellence - Work closely with Product, Data, and AI teams, contribute to architecture decisions, and help raise the technical bar across the team.

About the Role
We are looking for a versatile and driven Mid-Level Product Manager to join our product team. In this role, you will bridge domain expertise in construction engineering and quality management with modern B2B SaaS methodologies.

You will have end-to-end ownership across the entire product lifecycle-from scaling, optimizing, and evolving our core enterprise platform to leading zero-to-one initiatives and feature development. Working closely with R D, QA, Sales, Customer Success, and executive leadership, you will help shape software solutions that drive real impact on large-scale construction and infrastructure projects.

What Youll Do
End-to-End Product Ownership: Define feature roadmaps, write clear product specifications (PRDs/user stories), and oversee execution from concept to release.

0-to-1 Scale: Lead new platform initiatives from discovery to launch, while cont