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Lyft

Lyft

www.lyft.com

26 Jobs

26,229 Employees

About the Company

Whether it's an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app -- for a more connected world, with transportation for everyone.

Listed Jobs

Company background Company brand
Company Name
Lyft
Job Title
Senior Program Manager (TechOps)
Job Description
**Job title:** Senior Program Manager (TechOps) **Role summary:** Lead the planning, execution, and delivery of complex, multi‑year technology transformation programs across finance, HR, sales, privacy, and security domains. Serve as the primary liaison between business stakeholders and technology delivery teams, ensuring alignment, governance, and measurable impact of enterprise initiatives. **Expectations:** * Execute full‑cycle programs from business case development to operational handoff. * Maintain rigorous program governance, risk mitigation, and executive reporting. * Deliver projects on time, within budget, and meeting ROI targets. * Foster cross‑functional collaboration and drive continuous improvement, including AI/automation opportunities. **Key responsibilities:** 1. Lead end‑to‑end delivery of initiatives such as ERP transformations (Oracle, Anaplan), HCM implementations (Workday, Greenhouse), CRM rollouts (Salesforce), and privacy/security programs (GDPR, CCPA). 2. Conduct strategic planning sessions, prioritize roadmaps, and align program objectives with corporate goals. 3. Manage program governance: bi‑weekly/monthly reviews, risk assessments, executive reporting, and stakeholder communication. 4. Coordinate cross‑functional teams across Engineering, IT, Security, Privacy, Compliance, Finance, HR, and business operations. 5. Oversee technology lifecycle: vendor selection, contract negotiations, system integrations, and migration/sunset planning. 6. Drive operational excellence initiatives (infrastructure optimization, process automation, disaster recovery, performance monitoring). 7. Manage program budgets (> $1M annually), track ROI, and optimize resource allocation. 8. Champion AI and automation initiatives, identifying and implementing generative‑AI solutions for process optimization. **Required skills:** * 8+ years in transformation program management (operations consulting, strategy, or enterprise technology). * 6+ years leading enterprise technology delivery (ERP, HCM, CRM, privacy, or security initiatives). * Proven full‑cycle transformation experience (business case, implementation, change management, handoff). * Strong executive communication; ability to engage C‑level stakeholders and translate technical/regulatory requirements into business impact. * Experience with privacy/security programs (GDPR/CCPA, security frameworks, identity management, data governance). * Vendor management, complex procurement, and budget oversight (> $1M). * Cross‑functional team leadership (IT, Engineering, Security, Privacy, Compliance, Finance, HR). * Business acumen: strategic needs assessment, planning, and alignment with partners. * AI/automation mindset; experience implementing AI/automation solutions. * Empathetic leadership, strong self‑awareness, and collaboration skills. **Required education & certifications:** * Bachelor’s degree in Business, Engineering, Computer Science, or related field (Master’s preferred). * Professional certification in Program Management (PgMP, PMP, or equivalent) and/or relevant technology domains (e.g., Oracle, Workday, Salesforce, security/privacy).
Toronto, Canada
Hybrid
Senior
26-11-2025
Company background Company brand
Company Name
Lyft
Job Title
Senior Software Engineer, Lyft Ads
Job Description
**Job title:** Senior Software Engineer, Lyft Ads **Role Summary:** Lead the design, development, and optimization of high‑performance backend systems for real‑time ad serving, campaign management, and reporting within Lyft’s transportation media network. Collaborate closely with product, data science, analytics, and operations teams to deliver scalable, low‑latency services that drive revenue and maintain user experience quality. **Expectations:** - Architecture and build robust, distributed microservices using Python, Go, or Java. - Own end‑to‑end delivery of feature initiatives, from requirements to production rollout. - Maintain code quality through thorough reviews, CI/CD, and observability practices. - Share technical knowledge via talks, brown bags, and mentorship. **Key Responsibilities:** 1. Design, develop, and scale backend services for real‑time ad delivery, targeting, and reporting. 2. Partner with product, data science, and third‑party stakeholders to define feature requirements and technical solutions. 3. Optimize ad‑serving pipelines for latency, throughput, and revenue impact. 4. Build and expose APIs that interface with internal systems and external ad partners. 5. Deploy services on Linux environments, ensuring high availability and observability. 6. Conduct code reviews, maintain coding standards, and participate in incident resolution. 7. Contribute to technical strategy, architecture decisions, and roadmap planning. 8. Deliver knowledge transfer sessions and evangelize engineering best practices across the team. **Required Skills:** - 5+ years of software engineering experience in Python, Go, or Java. - Strong grasp of distributed systems, microservices, and both SQL & NoSQL database design. - Experience building low‑latency, high‑throughput systems handling large traffic volumes. - Familiarity with real‑time bidding (RTB), ad‑serving principles, and programmatic advertising a plus. - Proficient with streaming technologies such as Kafka and large‑scale data processing. - Solid understanding of Linux operating systems and cloud‑native deployment. - Excellent communication, code review judgment, and cross‑functional collaboration. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related technical field (or equivalent professional experience).
New york, United states
Hybrid
Senior
04-12-2025
Company background Company brand
Company Name
Lyft
Job Title
Machine Learning Engineer, Mapping
Job Description
Job title: Machine Learning Engineer, Mapping Role Summary: Build, launch, and maintain machine learning models that power Lyft’s mapping platform, including data pipelines, routing, ETA, and positioning services, to improve user experience and business outcomes. Expectations: - 3+ years of ML experience, ideally in large‑scale production settings. - Proven ability to develop impactful ML systems across domains such as forecasting, recommendation, or optimization. - Strong Python/Golang programming and ability to write production‑grade code. - Excellent communication skills in English, capable of collaborating with cross‑functional teams. Key Responsibilities: - Collaborate with engineers, data scientists, product managers, and business partners to translate business problems into ML solutions. - Conduct data analysis, create proofs‑of‑concept, and propose scalable ML models. - Develop, train, and deploy statistical, supervised, forecasting, recommendation, or reinforcement learning models. - Integrate models into production pipelines, ensuring scalability and reliability. - Evaluate model performance against business metrics and iterate to meet goals. Required Skills: - Advanced knowledge of ML methodologies: supervised learning, forecasting, recommendation systems, reinforcement learning, bandit algorithms, etc. - Programming proficiency in Python, Golang, or equivalent for model development and deployment. - Experience with large‑scale data processing, real‑time pipelines, and cloud or distributed computing. - Familiarity with version control, CI/CD, and model monitoring practices. - Strong analytical, problem‑solving, and communication abilities. Required Education & Certifications: - B.S., M.S., or Ph.D. in Computer Science, Electrical Engineering, Data Science, Applied Mathematics, or related quantitative field, OR equivalent professional experience.
Toronto, Canada
Hybrid
Junior
04-12-2025
Company background Company brand
Company Name
Lyft
Job Title
Data Scientist, Algorithms - Lyft Business
Job Description
**Job title** Data Scientist, Algorithms – Lyft Business **Role Summary** Lead end‑to‑end data science initiatives for Lyft Business products (Business Travel, Lyft Pass, Concierge). Own model development, deployment, experimentation, and analytics to drive growth, operational efficiency, and product innovation for enterprise clients. **Expectations** - Deliver production‑grade ML models and experiment frameworks that impact revenue, cost, or user experience. - Own full lifecycle: problem definition, data exploration, feature engineering, modeling, validation, deployment, monitoring. - Translate ambiguous B2B business needs into measurable technical solutions. - Influence product strategy through rigorous data‑driven insights and experimentation. **Key Responsibilities** - Design, develop, deploy, and monitor algorithms & ML models for Lyft Business. - Build scalable model pipelines, integrate with feature stores, APIs, and serving tiers. - Conduct exploratory, predictive, and causal analyses on large, distributed datasets. - Run A/B tests and support causal inference frameworks; validate algorithmic changes. - Benchmark, tune, and optimize models for latency, throughput, reliability, and fairness. - Produce model cards, reproducibility pipelines, and technical documentation. - Keep abreast of ML research; propose adoption of new techniques. - Collaborate with Product, Engineering, Design, and Go‑to‑Market teams on roadmap and execution. **Required Skills** - Python programming; expertise in PyTorch, TensorFlow, JAX, scikit‑learn. - ML Ops: feature stores, model deployment, monitoring. - Distributed data processing: Spark, Snowflake, Databricks. - Algorithm development: supervised/unsupervised learning, time‑series, optimization, ranking/recommendation. - Experimentation: A/B testing, causal inference fundamentals. - Clean, production‑ready coding; API integration. - Strong analytical mindset; ability to distill complex concepts for diverse audiences. **Required Education & Certifications** - Master’s or PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, Engineering, or equivalent industry experience. - Minimum 3 years of applied experience building, evaluating, deploying ML models in production systems. ---
Toronto, Canada
Hybrid
Junior
10-12-2025