Angi

Data Scientist

• Manage governed platform access for engineers, analysts, and services
• Streamline orchestration and scheduling by consolidating fragmented scheduling tools
• Use AI-assisted tooling to migrate jobs with less manual engineering effort
• Drive data ingestion and replication through self-service platform capabilities
• Oversee retirement of legacy systems and hand off ownership clearly
• Optimize compute cost efficiency without reducing developer experience
• Advance compute strategy diversification across storage and compute engines
• Build an AI-ready platform substrate with governed access and audit trails
• Use AI agents in daily work and establish norms for agentic workflows
• Protect team focus and steward outcomes rather than tasks
• Build trust across engineering, domain teams, and leadership
• Collaborate with Data Mesh Enablement, Managed Data Products, and agentic workflow teams on an overall technical strategy

Senior Product Manager, Data Infrastructure

Operations

• Investigate and audit pro accounts for compliance with company quality standards
• Monitor ongoing compliance, including valid licensing and regulatory requirements
• Review and respond to concerns involving misconduct, fraud, or poor performance
• Conduct web research and outbound calls to gather and verify account credentials
• Complete daily tasks and physical and digital file management in accordance with data privacy guidelines
• Identify and escalate compliance, fraud, or quality risks
• Collaborate with team members and leadership to achieve service level agreements with minimal supervision
• Use company-provided equipment and webcam for virtual meetings

Quality Operations Representative I – Pro Integrity

Communications

• Drive proactive earned media opportunities and support executive visibility
• Conduct proactive media outreach and build relationships with consumer and trade media
• Draft press releases, media pitches, Qwoted and HARO responses, and other communications materials
• Support executive spokespeople during interviews, broadcasts, podcast recordings and media events
• Manage operational execution of the Ask Angi column
• Manage on-site production logistics for the Own It with Angie Hicks podcast
• Develop story ideas using Angi's first-party data
• Identify emerging homeowner, service professional and AI trends
• Support agency partners with messaging, story ideas and spokesperson opportunities
• Conduct daily media monitoring across Angi and competitive brands
• Maintain media lists, journalist databases and trackers
• Escalate communications risks early
• Build monthly reporting on earned media, share of voice, media quality and communications performance
• Help manage communications platforms and vendors, including Notified, Mailchimp and monitoring tools
• Recommend new tools, workflows and AI-powered efficiencies
• Coordinate company-wide communications across Slack, Google Spaces and newsletters
• Produce the bi-weekly Toolbox newsletter
• Support monthly All Hands logistics, invitations, decks, recordings, surveys and recaps
• Review internal communications from HR, IT and other business partners
• Share company news, media coverage and business updates with employees

Communications Coordinator

Financial Planning and Analysis

• Prepare and file SEC reports, including Forms 10-K, 10-Q, 8-K, and proxy statements
• Lead drafting and review of MD&A, footnote disclosures, and earnings press releases
• Manage XBRL tagging and EDGAR submissions
• Monitor SEC rules, comment letter trends, and disclosure best practices
• Serve as primary contact for external auditors on SEC reporting and technical accounting matters
• Provide technical accounting guidance on US GAAP topics including ASC 606, ASC 718, ASC 842, business combinations, goodwill, and debt instruments
• Research, document, and communicate accounting positions for transactions, product initiatives, and strategic deals
• Develop and maintain company-wide accounting policies
• Assess new and proposed FASB/SEC accounting standards and prepare implementation plans
• Oversee SOX controls, including design, documentation, testing, and remediation
• Partner with internal audit and external auditors on audits and reviews
• Ensure effective disclosure controls and procedures
• Recruit, manage, mentor, and develop accounting professionals
• Advise the Controller and CFO on accounting implications of complex transactions and strategic initiatives
• Partner with FP&A, Legal, Tax, and Corporate Accounting
• Improve reporting and close-cycle scalability through process improvements, automation, systems enhancements, and AI

Senior Manager, Financial Reporting – Technical Accounting

Machine Learning Engineer

• Lead development of advanced machine learning and AI models for marketplace algorithms, including search ranking, recommendations, and matching solutions
• Design and architect robust MLOps practices for seamless model deployment and scalability, including self-hosted LLMs
• Automate model training and post-training, including fine-tuning, RLHF/preference alignment, and distillation
• Optimize model runtime performance and inference cost
• Own the full MLOps lifecycle, including data pipelines, experiment tracking, CI/CD, model registry, monitoring, and rollback
• Define and own evaluation frameworks for deep learning and ML systems
• Establish offline metrics, online experimentation, A/B testing, guardrail metrics, and LLM-specific evaluations
• Collaborate with engineers, ML infrastructure teams, data scientists, and product managers on scalable ML systems
• Develop the long-term technical vision and roadmap for the team
• Design and implement new products and features and enhance existing products with ML capabilities
• Mentor junior team members and encourage knowledge sharing

Staff Machine Learning Engineer

• Lead development of advanced machine learning and AI models for marketplace algorithms, including search ranking, recommendation, and matching solutions
• Design and architect robust MLOps practices for seamless deployment and scalability of machine learning models, including self-hosted large language models
• Automate model training and post-training, including fine-tuning, RLHF/preference alignment, and distillation
• Optimize model runtime performance and inference cost
• Own the full MLOps lifecycle from data pipelines and experiment tracking through CI/CD, model registry, monitoring, and rollback
• Define and own evaluation frameworks for deep learning and ML systems, including offline metrics, online experimentation, guardrail metrics, and LLM-specific evaluation
• Collaborate with engineers, ML infrastructure team members, data scientists, and product managers on scalable machine learning systems
• Contribute to the end-to-end development process from ideation to deployment
• Assist in developing long-term technical vision and propose team roadmaps
• Design and implement new products and features and enhance existing products with machine learning capabilities
• Guide junior team members and foster continuous learning and technical excellence
• Lead knowledge sharing on advanced machine learning techniques

Senior Machine Learning Engineer

• Lead improvements to agent conversation, qualification, and booking through conversation design, prompting, and campaign logic
• Build evaluation systems using automated checks over conversation traces, simulated conversations, and model-based evaluation
• Establish experiment design frameworks and practices for product decisions
• Analyze real conversations to identify agent successes and failure modes
• Develop predictive models for qualification, appointment quality, homeowner engagement, and channel and timing selection
• Deploy models to production with monitoring and testing
• Collaborate with engineers, product managers, designers, and operations partners from ideation through deployment
• Explore innovative approaches to complex business problems
• Mentor junior team members and promote technical excellence and knowledge sharing

Staff Data Scientist

• Improve agent conversation, qualification, and booking behavior through conversation design, prompting, and campaign logic
• Build evaluation systems using automated conversation-trace checks, simulated conversations, and model-based evaluation
• Establish experiment-design frameworks and practices for shipping decisions
• Analyze real conversations to identify failures, create taxonomies, measure failure rates, and prioritize improvements
• Develop predictive models for qualification, appointment quality, homeowner engagement, channel selection, and timing selection
• Take models into production and maintain monitoring and testing
• Collaborate with engineers, product managers, designers, and operations partners from ideation through deployment
• Explore innovative approaches to complex business problems
• Mentor junior team members and promote technical excellence and knowledge sharing