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Lyft Business Jobs, Bangladesh

Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales, go-to-market, or B2B organizationProficiency in SQL — able to read, write, and review structured, efficient queries on large data sets, whether you wrote them yourself or an AI coding assistant did; you own the correctness of every query and result before it reaches stakeholdersExperience building production data assets — pipelines, data models, or orchestrated tables (Airflow, dbt, or similar) — not only ad-hoc analysisProficiency in a data visualization tool like Tableau, Hex, Mode, or similarExperience with sales or account analytics — pipeline, bookings, pacing to target, account segmentation — is a strong plusExperience with Python for data analysis and automation is a strong plusCommercial instinct paired with a builder's instinct — a track record of turning a recurring request into a durable tool or dataset instead of answering it one more timeA track record of influencing business decisions through analysis, and an ownership mindset toward the metrics and datasets you buildStrong analytical skills with the ability to tackle ambiguous problems, break them down, and deliver clear, actionable insightsExcellent communication skills, with the ability to present complex data to a variety of stakeholders clearly and compellinglyA strong attention to detail and a commitment to data accuracy and integrityAbility to collaborate across functions, manage competing priorities, and drive projects to completion

Deadline:22 Oct 2026

4–7 years of experience in yield management, pricing strategy, revenue operations, media operations, or sales compensation. Ideally at a digital media, adtech, or marketplace company.Strong financial modeling skills; fluency in Excel/Google Sheets for margin analysis, rate card management, and compensation calculation.Experience owning or contributing to sales compensation design and/or commission calculation processes at scale.Familiarity with programmatic advertising economics: CPMs, floor pricing, managed service fee structures, margin mechanics.Proven ability to manage cross-functional relationships with Finance, Analytics, Legal, and Sales stakeholders.High attention to detail and strong data hygiene discipline; comfort working in ambiguous, fast-moving environments.Preferred: Experience working with or overseeing a DSP managed service vendor (e.g., MiQ, DV360, Xaxis, or similar).Preferred: Familiarity with OMS or CRM platforms (Operative, Salesforce, or comparable).Preferred: Background in both buy-side and sell-side media operations, or experience at a two-sided marketplace, rideshare, or mobility platform with an advertising business.

Deadline:22 Oct 2026

6+ years in revenue/business operations, product operations, or technical program management, ideally supporting a B2B sales or media/ads organization similar to Lyft Business.2+ years directly managing a team, including performance conversations, coaching, and navigating capacity/priority tradeoffs across competing stakeholders.Hands-on Salesforce experience; admin- or architecture-level fluency strongly preferred.Product or program management background — comfortable owning a roadmap, writing requirements, and managing engineering and IT partners.Demonstrated track record of working directly with technical teams to ship features against business needs.Player-coach mentality: strategic enough to own the roadmap, scrappy enough to build the spreadsheet.

Deadline:22 Oct 2026

4+ years of experience in a customer-facing role (Sales, Customer Success, Business Development experience preferred from any field)Must be comfortable working in a sales environment, operating with a sense of urgency and independent spirit.Ability to communicate effectively (both in writing and verbally), how Lyft’s transportation technologies can offer solutions to complex mobility challenges for our customersPrevious experience working towards a revenue target and building strategies to drive revenue growth within managed portfolio requiredStrong understanding and curiosity of Lyft’s platform and competitive landscapeCreative thinking to develop out-of-the-box ideas in order to overcome challenges and objectionsAbility to build proactive business plans and curate your respective playbook on partner ride growthDemonstrated success managing large customers and prioritizing workflow accordinglyAbility to deliver business value to the account and build on strong client relationships

Deadline:22 Oct 2026

BS/MS or equivalent in Computer Engineering, Computer Science, or a related field, or equivalent practical experience.8+ years of software engineering industry experience, with a proven track record of technical leadership and system ownership.Deep expertise in designing, debugging, and running fault-tolerant, highly available, large-scale distributed systems.Demonstrated experience driving technical roadmaps, managing cross-team dependencies, and influencing system architecture at an organizational level.Solid knowledge of distributed systems, relational databases, and NoSQL databases.Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure) and modern container orchestration technologies (e.g., Kubernetes, Docker, cri-o).Ability to communicate complex technical trade-offs effectively to both technical and non-technical stakeholders.Ability to work with a low-ego, highly collaborative, and cross-functional mindset while actively lifting up the engineers around you.

Deadline:22 Oct 2026

5+ years of software engineering experience, with a track record of designing and shipping production systems at scaleStrong system design instincts — you can reason through distributed systems trade-offs, identify failure modes, and choose the right architecture for the problemCuriosity and informed opinions about how AI can meaningfully improve product experiences, not just as a workflow tool but as a capability embedded in what we buildHands-on experience with large-scale, fault-tolerant distributed systems in a cloud environment (AWS, GCP, or Azure)Proficiency in object-oriented programming; experience with the languages and frameworks used in our stack is a plusSolid foundations in relational and NoSQL databases — data modeling, query optimization, and operational considerationsClear communicator who can explain technical decisions in writing, in design reviews, and across teamsBS/MS in Computer Science, Computer Engineering, or equivalent practical experience

Deadline:22 Oct 2026

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