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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's Airport Partnerships team manages the company's relationships with airport authorities across the U.S. and Canada, ensuring Lyft operates as a trusted, compliant, and collaborative partner at every airport we serve. The team is organized by region, with each Business Development Manager owning the airport relationships within their territory. This role owns the Northeast region, covering U.S. states from the Northeast through the Mid-Atlantic and Carolinas, and Canadian provinces from Ontario and Quebec eastward. As a qualified candidate, you're comfortable operating across a wide range of altitude — from negotiating agreements with senior airport officials to processing day-to-day operational requests like driver suspensions and fee changes. You know how to build and adapt relationships with airport partners, whose working styles range from informal and high-touch to highly formal and bureaucratic, and you're equally skilled at translating airport needs into requirements that Lyft's internal teams — legal, compliance, product, finance, and marketing — can act on, and vice versa. You are self-directed and highly organized, able to manage a mix of reactive, ad hoc requests and longer-term strategic projects without close oversight, and you take pride in being a collaborative business partner to airports while knowing when to push back. Responsibilities: Own airport relationships across the Northeast region by serving as Lyft's primary point of contact for airport authorities across the region's states and provinces, adapting your communication style and cadence to each partner's preferences Deliver on airport requirements by coordinating cross-functionally with legal, compliance, product, finance, reporting, and marketing teams, translating airport mandates into internal action and Lyft's capab

Opportunity Overview: We are seeking a Senior Forward-Deployed Engineer to join our Forward Deployed Engineering team at Cohere Health. In this highly technical, customer-facing role, you will own end-to-end technical integration work with enterprise customers and partners—from pre-sales through production deployment—bridging complex healthcare systems with Cohere’s AI-first platform. You’ll partner closely with Engineering, Product, Solutions Architecture, and Customer Success teams to design and execute sophisticated integrations that improve access to care for millions of members. What you’ll do: Own end-to-end technical integration design and execution for enterprise customers, from initial scoping through production deployment, serving as the primary technical authority throughout Lead technical discovery, scoping, and proof-of-concept work during pre-sales cycles, creating technical proposals and estimates to validate feasibility for prospective customers Design system architectures that bridge customer IT environments with Cohere’s platform, making key architectural decisions that balance customer constraints with platform capabilities Work hands-on with AI/ML-enabled healthcare features—including clinical decision support, automated review, and intelligent routing—ensuring they meet regulatory requirements and clinical safety standards Produce high-quality technical artifacts including integration designs, architecture diagrams, data mappings, API implementation guides, and operational runbooks Build reusable integration patterns and templates that scale across customers, and continuously identify opportunities to improve platform capabilities based on implementation learnings Collaborate cross-functionally with Engineering, Product, Solutions Architecture, and Customer Success teams to drive successful go-live outcomes and mentor junior team members What you’ll need: 6–10+ years of software engineering experience with a strong backend/systems focus H

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

SLSQ327R363 Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase , our fully-managed Postgres offering for intelligent applications . This senior individual contributor role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications , helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. Lead with outcomes for key Lakebase personas — including platform teams and developers , data teams , and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. Sell the value of fully-managed Postgres for intelligent applications , positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. Compete and win against legacy and cloud-native operational databases by leveragi

Datadog is looking for a visionary Senior Leader of Sales Engineering (SE) to lead and scale a high-performing team of SE Directors in North America across Enterprise, Majors, and Public Sector accounts. This is a strategic leadership role with regional and global impact. You will define the Sales Engineering strategy for North America and act as a regional voice in global discussions with Product Management, Engineering, and Go-To-Market teams—ensuring that customer needs in North America influence Datadog’s global direction. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You Will Do Executive Leadership & Organizational Growth Recruit, develop, and lead a team 3rd line SE Directors, fostering a culture of technical excellence, customer-centricity, and continuous growth. Define and drive the technical sales strategy across North America, and globally. Set the vision, priorities, and operating model for Sales Engineering, ensuring alignment with Datadog’s business objectives and local market dynamics. Partner with Sales Leadership to align on revenue targets, go-to-market initiatives, and strategic customer engagement across the region. Represent North America Sales Engineering globally, ensuring regional perspectives and requirements are reflected in Datadog’s product roadmap and GTM planning. Customer Partnership & Advocacy Act as a trusted advisor to C-level and senior technical executives, demonstrating how Datadog solves critical observability, performance, and security challenges, especially given the rapid business adoption of AI. Provide executive support for high-stakes opportunities, offering guidance throughout complex sales cycles. Serve as an executive sponsor for strategic customers across North America. Promote value-based technical s

Role Purpose 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 Airflow. Cloud Native: Hands-on ex

(P-1174) We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide. Key Characteristics As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. The Impact you will have: Solve real business needs at large scale by applying your software engineering. Deliver a highly scalable, available, and fault-tolerant engine processing hundreds of TB of data daily across thousands of customers Low level systems debugging, performance measurement &

Role summary The Administrative Assistant provides executive, operational, and administrative support to designated members of the Controllers Leadership Team (CLT) and their teams. Responsibilities include calendar and travel management, leadership meetings and events, communications, organizational coordination, and colleague engagement activities. The role works across the Controllers organization and locations, with assignments and priorities adjusted based on evolving business and leadership needs. The role is based in Tampa and provides coordinated site support across Tampa and Memphis, partnering with site leaders and local teams to deliver colleague engagement, site events, communications, operational logistics, leadership visits, and other activities that support a consistent colleague and visitor experience. The incumbent handles highly confidential material, including organization changes, headcount and attrition data, leadership planning and sensitive people matters, and supports all regional time zones with periodic work outside US business hours. 1. Executive partnership and calendar management Owns the calendars of designated Leadership Team members, with delegated authority to book, move and decline meetings for senior stakeholders. Runs the leadership operating rhythm: recurring 1:1s, monthly leadership forums, site organization-update sessions, colleague chat sessions and skip-level meetings across locations. Coordinates governance meetings with external parties, including external auditor operational reviews and decision committees. Supports integration of newly absorb

The Chief of Staff is a high-visibility leadership role responsible for the operational success of the SVP, General Manager’s organization. Acting as a strategic partner, you will ensure the business operates at peak velocity by driving key initiatives, improving organizational effectiveness, and aligning teams around strategic priorities. You will translate high-level goals into clear execution plans across the business, providing clarity in a fast-paced, complex environment. This role is designed for a seasoned operator who excels at driving accountability among senior leaders and building the systems necessary to scale a SaaS business. You will identify operational gaps, mitigate risks before they impact the bottom line, and act as an extension of leadership—prioritizing, executing, and communicating critical projects to enable the executive team to operate at maximum efficiency. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 5 days a week. ** As a Chief of Staff You Can Expect: Drive the Operating Cadence: Design and manage the GM's leadership meetings, QBRs, and planning cycles to keep the team aligned and hitting KPIs. Force Execution: Partner with Sales, Customer Success, Account Management, Implementation, Product leaders to unblock projects and hold senior stakeholders accountable for deliverables. Own Plan Integrity: Keep the team aligned to the quarterly and annual plan, hold leaders accountable for the commitments behind it, and flag risk early, before it shows up as a miss in the business review. Drive Alignment & Follow-Through: Ensure decisions and commitments made in leadership meetings are clearly communicated across the team, tracked to completion, and actually followed through on, closing the loop between what was decided and what gets done. Prioritize Ruthlessly: Act as a surrogate for the GM in high-level meetings, surfacing critical risks early and filtering out noise to focus

GAQ427R212 Databricks is seeking an experienced, hands-on leader to serve as Senior Manager, Order to Revenue IT Compliance. As Databricks continues to scale, protecting our usage-based revenue engine requires dedicated operational and fiduciary oversight at the intersection of product metering, cloud partner ecosystems, and financial accounting. In this key leadership role, you will lead the core execution of usage-related controls, manage reconciliation processes and automation roadmap across cloud platform billing partners, and partner closely with engineering to ensure our platform metering dataset acts as the single internal source of truth for revenue yield and compliance. Primary Responsibilities Platform Consumption & Monetization Controls : Partner with engineering and finance functions to design internal controls over platform consumption and monetization calculations & oversee compliant execution of such controls. Liaise directly with Internal Audit regarding control environments. Cloud Partner Reconciliations : Oversee the end-to-end reconciliation of internal platform usage against usage submitted by cloud platform partners (GCP, AWS, Azure). Analyze all reconciling items between internal and external usage, resolve discrepancies stemming from errors/bugs, identify revenue recognition impacts in consultation with accounting, and establish standardized governance processes. SOX & Engineering Process Execution : Execute processes in close collaboration with Engineering to ensure all usage-related, financially impacting workflows are accurate, complete, SOX-ready, and fully validated prior to customer billing and revenue conversion. Metering Data Set Management : Manage the paid usage metering dataset to ensure the revenue yield for every unit of consumption remains precise, maintaining a reliable internal source of truth for Finance, FP&A, and business stakeholders. Minimum Qualifications Education : Bachelor’s degree in Accounting, Financ

ABOUT THE ROLE The Cybersecurity Engineer is responsible for independently executing defined security engineering and operational work across Accela’s endpoints, identities, cloud platforms, and enterprise systems. This role applies established security standards and practices to troubleshoot issues, maintain technical controls, analyze findings, implement solutions, and identify opportunities to improve how the team operates. The Cybersecurity Engineer partners with IT, Engineering, DevOps, IAM, Compliance, and other teams to maintain effective technical safeguards while supporting business continuity. The role is expected to independently manage routine and moderately complex work, make sound decisions within established practices, and escalate highly complex or unfamiliar matters to senior engineers or security leadership as appropriate. The ideal candidate brings strong enterprise IT experience, hands-on exposure to security technologies, and the ability to take ownership of assigned work from identification through resolution. This individual is also expected to identify recurring issues, recommend process or automation improvements, and continue building technical depth across security tooling, cloud platforms, and enterprise systems. SPECIFIC RESPONSIBILITIES Independently manage endpoint security and compliance activities across Windows, macOS, and Linux environments, including security baselines, EDR and antivirus agents, disk encryption, MDM, and operating system hardening. Administer and troubleshoot identity and access controls, including account provisioning and deprovisioning, SSO, MFA, conditional access, and authentication issues. Monitor and analyze alerts and logs within SIEM, EDR, and related platforms, perform initial triage, take appropriate action within established procedures, and escalate complex findings when necessary. Conduct initial technical investigations by gathering and analyzing evidence, documenting findings, and recommending

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As a Sr. AI Engineer: Systems, you’ll serve as an embedded senior back-end engineer on our Speech Team, owning the production systems that turn speech models and third-party capabilities into reliable, scalable experiences for Dialpad’s AI voice agents. You’ll work at the intersection of speech, ML infrastructure, and

MongoDB is seeking a senior leader to build a new communications function within the Customer Organization. This role will own the strategy, operating model, governance and execution framework for a spectrum of situations requiring customer and stakeholder communications, ranging from high-stakes operational situations, incidents, critical advisories, security events, product changes, through to recurring action-required and informational type needs. In this role, the leader will ensure MongoDB delivers transparent, accurate, empathetic, and well-timed communications during key moments of customer need. They will drive cross-functional collaboration across Technical Services, Engineering, Product, Security, Customer Success, Sales, Legal, and Corporate Communications to guarantee a unified and seamless corporate presence across both critical and non-critical events. This is a highly cross-functional leadership role that is explicitly expected to operate in a player-coach model. You will shape the long-term vision for the function, define the processes and measures of success, and personally guide communications during the most complex and visible situations. This role can be based out of one of our offices or remotely in the United States region. What you’ll do Build the function Define the charter, scope, roadmap, and operating model for the Customer Communications function at MongoDB Codify decision rights, review workflows, and escalation criteria for all operational communications. Orchestrate a scalable global model that ensures 24/7 follow-the-sun support. Recruit and mentor a team of specialized Communications Managers known for technical fluency and operational precision. Own critical operational communications <u

The Director of Global Strategic Events is a senior leadership role responsible for the strategy, governance, and execution of MongoDB’s global strategic events portfolio. This is a builder’s role at a pivotal moment, requiring a leader who can define a bold vision for how MongoDB shows up in an AI-native and agentic future, lead a global team to bring that vision to life, and drive measurable pipeline, revenue, and brand impact. Reporting to the Vice President of Corporate Marketing, this leader will operate with significant autonomy, influence across functions, and engage regularly with executive stakeholders. This role can be based out of any MongoDB U.S. office or remotely within the United States. What You'll Do Define the sponsorship and partner event strategy. Build MongoDB’s approach to sponsorship packages, exhibitor programs, and partner activations across flagship and third-party events in close partnership with Partner Marketing Lead and develop a global team. Manage, coach, and grow a high-performing, globally distributed events team. Establish clear priorities, operating rhythms, accountability, and consistent standards of excellence across regions and time zones Build with AI. Bring an AI-native approach to how the function operates. Use AI tools and agents to improve workflows, automate reporting, increase team capacity, and personalize attendee journeys. Set the expectation that the team will do the same. This is a core requirement of the role Represent Strategic Events across the business. Partner with leaders across Marketing, Sales, Product, Partner, and Communications. Represent the function in senior planning forums and ensure every program directly supports MongoDB’s company and go-to-market priorities. Expect to travel ~40% of the time to support events Shape the global strategic events vision and portfolio. Set the strategy, priorities, and tiering framework for MongoDB’s flagship user conferences, executive summits, global roadshows, sales

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