Lead Software Engineer Data Infrastructure Jobs

CSQ427R168 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks

CSQ427R168 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks

CSQ427R168 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace. Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence. Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth. How we work at Aircall : We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. We are looking for a seasoned Engineering Manager to lead Aircall's Security Engineering organisation. This is a high-impact leadership role spanning four pillars: Product Security, Infrastructure Security, Detection & Response, and Governance, Risk & Compliance (GRC). You will grow an established team of security engineers, set the technical direction, and partner closely with Engineering, Product, Legal, IT and Finance to embed security deeply across the company. You’ll scale the team through

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is seeking motivated people with a passion for technology and the drive to build an incredible career in SaaS sales. The sales development team plays a critical role in the growth of our organization. Our team works in collaboration with sales and marketing, nurturing leads and setting qualified discovery calls that ultimately lead to new business and new revenue. IN THIS ROLE YOU GET TO: Build revenue pipeline by setting introductory meetings with target influencers and key decision makers Research and build new and existing accounts through rigorous outbound calling efforts and by creating/executing strategic email and social campaigns Perform analysis of inbound and outbound prospects’ business and engage with these prospects by phone and/or email Apply effective communication skills, collaborating directly with customers, sales and cross functional teams Work in a fast-pace environment, take the initiative to get stuff done, try new things and amplify your successes by sharing your findings with your team ON DAY ONE WE WILL EXPECT YOU TO HAVE: Fluency in both Bahasa Indonesia and English A minimum of 2 years experience in prospecting roles within the technology industry Exceptional in-person, phone, and written communication skills A proven track record of ach

We are looking for a world-class Strategic Named Account Executive to fully own and elevate our relationship with Amazon, one of Asana's largest and most strategic customers globally. In this highly visible role, you will operate far beyond transactional sales to lead a fully resourced, dedicated account team (including a dedicated CSM, SE, Technical Account Manager, and Customer Enablement Manager). You will build deep, multi-departmental executive partnerships across Amazon's sprawling organization, position our next-generation AI product portfolio, and lay the strategic groundwork for one of the most significant renewal cycles in our company's history. This is a unique opportunity to take over a healthy, massive marquee account and drive the orchestration necessary to make the relationship extraordinary. This role can be fully remote within the US with a preference for Seattle, San Francisco, or New York. What you’ll achieve Fully embed yourself in the Amazon relationship, mapping key stakeholders, identifying executive sponsorship gaps, and establishing a consistent executive engagement rhythm. Partner closely with your dedicated Amazon account team (CSM, SE, TAM, CEM) to lead a highly coordinated, unified front. Deeply understand the bi-directional technical and commercial relationship between Asana's product suite and Amazon's infrastructure/marketplace. Build and scale trusted partnerships with Fortune 10 senior line-of-business and IT executives across Amazon. Design and execute high-impact Quarterly Business Reviews (QBRs) that clearly quantify and prove Asana's value realization. Generate awareness and early adoption of Asana’s latest innovation portfolio, including AI Teammates, Dash, and agentic AI workflows. Collaborate closely with Asana's channel and partner teams to optimize our presence and co-selling opportunities via the Amazon Web Services (AWS) Marketplace. Proactively construct the commercial runway and strategic roadmap for a massive upcoming

CSQ427R168 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databricks

Perplexity is seeking a Business Development Manager to build and scale our enterprise BDR team. In this role, you will hire, coach, and lead a team of BDRs generating qualified pipeline for our Enterprise Account Executives. This role is ideal for a hands-on sales leader who has built pipeline generation functions before and wants to shape the outbound motion of one of the fastest-growing enterprise businesses in AI. Responsibilities Hire, onboard, and coach a team of BDRs, establishing the ramp plan, operating cadence, and performance bar Own the BDR contribution to sourced pipeline and qualified opportunities Design and iterate the outbound playbook, including account targeting, vertical messaging, and multi-channel prospecting Partner with Enterprise AEs on account planning, lead routing, and handoff quality Build vertical fluency on the team so reps can hold credible conversations with buyers in industries such as Financial Services, Legal, Life Sciences, and Consulting Coach reps to position Perplexity's full product suite, matching the right entry point to each account Run the operating rhythm: weekly 1:1s, call and message reviews, pipeline inspection, and a clear performance scoreboard Collaborate with Sales, Marketing, RevOps, and Strategic Finance on lead quality, source attribution, and compensation design Develop BDRs into future Account Executives and build a strong internal talent pipeline Qualifications 4+ years in SaaS sales or business development, including 1 to 2+ years directly managing a BDR or SDR team Proven track record of building or scaling a pipeline generation team in a high-growth environment Prior closing experience strongly preferred Skilled at coaching reps on outbound prospecting, qualification, and executive engagement Data-driven operating style with the ability to define, track, and improve conversion metrics Experience with modern prospecting tools and AI-native sales workflows Exceptional written and verbal communication; comfo

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is hiring a Senior Financial Data Analyst to lead the Reporting sub-team within Finance Data & Insights, including people management of a small team of analysts. This sub-team is core to ensuring all key Run the Business (RTB) financial reports are complete, accurate, and operationally reliable on a day-to-day basis. The mandate is two-fold: build repeatable systems, playbooks, and documented workflows that reduce reactive work, and own the primary stakeholder relationships for RTB work across teams. This is a high-visibility role that combines hands-on ownership of critical reporting with team direct people leadership and process-building. Responsibilities: Own all RTB and Compliance reporting (tax, airports, audit requests, etc.), ensuring accuracy, completeness, and operational reliability Directly manage a team of entry-level and mid-level analysts , including hiring, performance reviews, and career development Build and maintain process documentation, checklists, and operational playbooks that make reporting workflows repeatable and resilient Receive and operationalize reports stabilized by Finance Data Products, integrating them into day-to-day RTB reporting operations Reduce fire-drill, ad-hoc response patterns by replacing them with documented, recurring workflows and automation Identify and drive automation opportunities across RTB reporting processes to improve efficiency, reduce manual effort, and further reduce ad-hoc work Own primary stakeholder relationships for RTB work, serving as the go-to point of contact across teams Lead large-scale, cross-functional initiatives with significant autonomy — from problem definition through execution — proactively communicating progress and risks to stakeholders and management Proactively identify risks, gaps, and opportunities for improveme

About the Team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a foundational FDE manager, you’ll lead FDE through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field. You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. This role also will require travel up to 40%, although mainly local. To succeed in this position you must be bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages. In this role, you will: Lead and grow a team of FDE delivering production systems with frontier models Own end-to-end delivery outcomes through clarity, speed, tight coordination, and technical quality Codify what works into tools, playbooks, and roadmap inputs that create leverage for both OpenAI and our wider developer community Notice early indicators and raise them with urgency, whether in product behavior, customer environments, or delivery practices Use judgement to distinguish what requires action and what does not Set a high bar for FDE performance and support each person’s growth through direct, acti

Job Summary LANEIGE US is seeking a strategic, highly collaborative PR Manager to lead the development and execution of integrated communications initiatives that elevate brand awareness, strengthen cultural relevance, and drive earned media value and influence. This role will oversee high-profile projects across media, influencer marketing, events, and brand partnerships ensuring seamless best-in-class execution from concept through completion. The ideal candidate has 4-5+ years of PR/Influencer Marketing experience within the beauty industry, preferably in-house, with a strong understanding of the evolving beauty and creator landscape. This individual is an exceptional project manager and strategic thinker with a proven ability to manage multiple priorities and execute campaigns that drive measurable business results. Must thrive in a fast-paced environment, demonstrate cross-functional collaboration, and possess excellent written and verbal communication. Principal Accountabilities Lead the development and execution of integrated PR programs across influencer marketing, earned media, brand partnerships, product launches, and cultural moments to drive brand awareness, engagement, and advocacy. Own end-to-end management of influencer campaigns, including creator identification and selection, briefing, timeline development, agency and talent communication, contract coordination, content review, approvals, posting oversight, and campaign recaps. Support the planning and execution of experiential marketing strategy, including influencer events, consumer activations, retail experiences, community engagement programs, and brand partnerships that bring the brand story to life. Collaborate cross-functionally with Brand Marketing, Social, Paid Media, Creative, Digital, E-commerce, Retail Marketing, and Global teams to ensure integrated storytelling and seamless execution across all consumer touchpoints. Build and maintain strong relationships with influencers, talent

Machine Learning Engineer – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like A

Machine Learning Engineer IV – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Strong industry experience in Machine Learning, dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: Hands-on exper

About the Team DoorDash Labs is an independent team within DoorDash. We're hiring an Associate Operations Manager to help lead a team working on robotics solutions solving real business problems. If you have a passion for applying robotics solutions to a service loved by millions of people, then we want to talk to you! About the Role This role acts as an associate operations manager at DoorDash Labs. You will ensure that DoorDash Labs executes operations efficiently and maximizes operations to its full potential. You will report to the General Manager on our robotics team in our DoorDash Labs organization. You will be 100% in-office and in-field throughout the Greater Salt Lake Area with some limited travel potential to other new markets if the need arises. You’re excited about this opportunity because you will… Rigorously tracking daily KPIs and work with all sides of our operations to maximize our output and commercial availability of supply Establish strong relationships and followership with the general manager, operations team managers and a co-located service team, motivating the whole team to work as one Incorporate, adopt and refine daily and weekly processes for the management of real-time operations, working closely with other leaders Build strong relationships with cross-functional partners, including remote assistance, technical program management, facilities, engineering and many other key stakeholders to provide an understanding of the current state of operations and resource allocation Contribute with creative operational solutions to complex and ambiguous technical problems, unlocking the next big autonomy bet Provide onsite leadership and expertise for incident response, in the case things don’t match expectations and need guidance and leadership Work effectively in gray space, bringing clarity to uncertainty, to enable tactical and strategic decision making and push the program forward! We’re excited about you because you ha

Machine Learning Engineer We’re looking for a Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: Multiple years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow. Cloud Native: