Lead Extended Workforce Program Manager Jobs

To ensure accurate and timely payments to all vendors and pro-actively support team lead on all activities in the COE roadmap. Source: Adani Group | Job ID: 55224

We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure. You will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale. What This Involves: Lead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows. Own the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines. Build robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks. Translate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders. Define standards and reusable patterns for agentic AI development that other engineers at Lynx can build on. Set up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production. Requirements: 5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production. Deep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.). Strong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures. Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). Proficiency in

Role Description Dropbox is seeking a Vice President of Revenue Operations to define and lead the operating strategy for the company’s global B2B go-to-market organization. This executive will be responsible for building a high-performing, scalable revenue engine that enables predictable and efficient growth across SMB, Mid-Market, and Enterprise segments while supporting Dropbox’s evolution across product-led, sales-assisted, and enterprise motions. This leader will serve as a key strategic partner to the Chief Business Officer and broader executive leadership team, translating company strategy into the operating model, planning frameworks, systems, insights, and execution mechanisms required to deliver durable growth. The role will own Revenue Operations and Marketing Operations across the customer lifecycle, ensuring tight alignment between demand generation, pipeline creation, sales execution, retention, expansion, and overall revenue performance. The VP of Revenue Operations will have enterprise-wide accountability for revenue planning, forecasting, segmentation, capacity and coverage strategy, incentives, GTM systems, analytics, operating cadence, and revenue productivity. This leader will play a central role in shaping how Dropbox allocates resources, evaluates performance, scales new products and motions, and modernizes its GTM organization through data, automation, and AI. Responsibilities Define and lead Dropbox’s global revenue operating strategy, ensuring the company’s GTM model is designed to support long-term growth, efficiency, and increasing enterprise complexity Serve as a strategic advisor to the Chief Business Officer and executive leadership team, bringing data-driven insights and recommendations to critical decisions around growth, investment, resource allocation, organizational design, and GTM strategy Own the end-to-end revenue operating model across Sales, Marketing, Customer Success, and Support, including segmentation, coverag

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. . About the Role, Mission or Department Overview As an Engineering Manager for Cybersecurity at The New York Times, you will lead the team responsible for building and operating the platforms, tooling and services that keep our systems secure at scale. Our engineers design and run the infrastructure that underpins vulnerability scanning, secrets management, secure-by-default platforms and other core security capabilities used across the entire technology organization. You will work with partners in Cybersecurity, Developer Platforms, Enterprise Technology and Product Engineering to deliver reliable, developer-friendly security services. This is a hands-on leadership role where you'll balance people management with technical decision-making. You'll coach engineers, shape technical roadmaps, and help your teams make risk-informed decisions that support both engineering goals and the broader business. You will report to the Director of Engineering, Cybersecurity within the Information Security organization. Information Security helps prevent The Times from becoming news. Our department protects the journalists who report the news, the colleagues who support them, the platforms they rely on every day and the readers who depend on our products. We run programs across security engineering, application security, incident response, governance and more, partnering closely with teams throughout the company to keep our systems dependable and safe. Resp

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in Canada. The Team The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate Profile We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision Strong customer orientation and sound judgment in finding practical, high-leverage solutions Experience working with systems involving analytics, data pipelines, and metrics platforms Experience with AI tools development and enablement efforts Strong technical judgment, including the ability to evaluate tradeoffs, i

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in the United States. The Team The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate Profile We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision Strong customer orientation and sound judgment in finding practical, high-leverage solutions Experience working with systems involving analytics, data pipelines, and metrics platforms Experience with AI tools development and enablement efforts Strong technical judgment, including the ability to evaluate t

To ensure accurate and timely payments to all vendors and pro-actively support team lead on all activities in the COE roadmap. Source: Adani Group | Job ID: 24046

Backend Engineer (Senior Level) - SDE IV We're looking for a Senior Backend Engineer to lead the architecture and evolution of backend services that deploy and serve machine learning models in production. You'll work closely with ML Engineers, Platform, and Product teams to build scalable, reliable systems and drive technical direction across multiple teams. What You’ll Do Design and drive the long-term architecture of backend services for biometrics and ML model serving. Collaborate with core platform and backend teams on organization-wide architectural initiatives. Partner with business and engineering teams to design and deliver cross-cutting platform capabilities. Lead architectural reviews, mentor engineers, and promote engineering best practices. Build and maintain backend services for deploying and serving ML models Monitor service reliability, performance, and scalability in production Deploy and operate services on AWS using ECS + Fargate, SageMaker, or EC2 + Kubernetes Support real-time and batch inference workflows Contribute to CI/CD pipelines and deployment automation What We’re Looking For Strong expertise in backend development using Java and working knowledge of Python. Experience mentoring engineers and driving architectural decisions. Working knowledge of Python, especially for ML-related workflows Hands-on experience with AWS (e.g., DynamoDB, ECS, EC2, Redis, S3, SageMaker) Familiarity with Terraform or other infrastructure-as-code tools, and experience with CI/CD and production monitoring Experience with observability tools (Datadog, New Relic, etc.) Experience with containers and orchestration (Docker, ECS, etc.) Understanding of how ML models are deployed and served in production Experience with Kubernetes Nice to Have Experience with MLOps or ML platform engineering. Experience with asynchronous programming and event-driven systems. Jumio Values: IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation Equal Opportunities :

The Manager, Procurement & Strategic Partnerships will lead a high-performing procurement team responsible for the end-to-end strategic sourcing, commercial execution, and lifecycle management of Zoox’s chassis control portfolio, including suspension, braking, and steering systems. Operating in a demanding, fast-paced environment, this role blends people leadership with commercial execution - driving global supplier strategies, leading contract negotiations, and partnering closely with Engineering, Program, Quality and Finance to meet vehicle cost, quality, and production milestones. In this role, you will: Team Leadership & Integrity: Build, scale, and mentor a high-performing procurement team while maintaining compliance with company policies and the highest standard of professional ethics. Sourcing Strategy: Lead the end-to-end RFI/RFQ/RFP processes and develop long-term global sourcing strategies for chassis components to minimize cost and optimize terms. Commercial Negotiations: Lead complex negotiations for master supply agreements, production statements of work and secure best-in-class pricing. Cross-Functional Alignment: <span style="font-size: 11pt;

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re hiring a Staff Machine Learning Engineer to help drive the future of merchant presence and shopping experiences on Pinterest. This role sits on the Merchant team and focuses on building AI/ML systems (including LLMs) that identify, understand, and surface relevant, high-quality merchants across segments—so Pinners can discover new brands with greater confidence and consideration, and merchants can reach new, diverse audiences. In this role, you’ll lead LLM-first, evaluation-driven initiatives—near-term focused on agentic workflows, measurement, and operational rigor that strengthen Merchant Integrity and Business Integrity. Longer term, you’ll help advance core relevance capabilities such as merchant/brand affinity modeling and related signals that improve shopping discovery across Pinterest. You’ll partner closely with Product Managers, E

The HD Mapping team is seeking an experienced full-stack engineer to lead development of the web services that support the creation, cataloging, and maintenance of 3D HD maps deployed across Zoox’s fleet. This role will be instrumental in scaling our mapping operations into multiple new cities. In this role, you will: Own and architect backend services (FastAPI) for the HD Mapping team's web infrastructure Support development of frontend tools for interacting with Zoox’s maps (TypeScript, React, MUI, Deck.gl) Automate complex pipelines and workflows Mentor team members on web technologies and distributed systems You will establish guidelines and refactor existing code to follow best practices Qualifications Strong experience in backend development and distributed systems Frontend experience and knowledge of best practices (proficiency in Python, TypeScript, and React) Knowledge of relational database design (Postgres) and RESTful API development Proven ability to lead technical initiatives and mentor others Experience automating complex workflows (Airflow) Bonus Qualifications Experience with FastAPI, Kubernetes, and ArgoCI Knowledge of geospatial data and coordinate systems About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the applica

FEQ327R502 The Manager, Specialist Solutions Architect will lead a team of Specialist Solution Architects and leaders in the Life Science vertical, who provide Specialist coverage for both our Solutions Architect (SA) teams and Delivery Solutions Architect (DSA) team. Your experience when partnering with the pre-sales technical team and leaders will help drive technical wins and accelerate Databricks DBU consumption. You will be responsible for guiding and empowering your team to communicate complex, outcome-based results that drive consumption and help our customers achieve their desired outcomes. The impact you will have: Hiring and building the Specialist Solutions Architect team, scaling the designated field engineering segment organization without sacrificing quality Build a collaborative culture within a hyper-growth team to embody and ensure Databricks' company values Drive Databricks product adoption and accelerate use cases to production within the Life Sciences vertical. Collaborate closely with cross-functional teams, including Sales, Marketing, Support, Product Development, Operations, and other FE teams, to strategize and align efforts towards achieving HLS vertical's incremental consumption target and commit target. What we look for: 2+ years leadership experience building and guiding teams Demonstrated expertise in designing and implementing complex, large-scale solutions within the healthcare and life science industries, with a solid understanding of the specific challenges and data requirements in the HLS vertical. Strong knowledge of HLS-specific regulations, such as HIPAA, GDPR, and industry standards like HL7, FHIR, and DICOM. Familiarity with life science-related use cases and topics, including genomics, bioinformatics, clinical trials, drug discovery, real-world evidence, and precision medicine. In-depth understanding of healthcare-related use cases and topics, such as electronic health records (EHR), telemedicine, medical ima

About the Role: Tubi is seeking a highly skilled and experienced QA Automation Engineer to lead quality assurance initiatives for our cutting-edge streaming and AI-driven product features. This pivotal role involves ensuring exceptional end-to-end user experiences, robust streaming playback, and the accuracy and integrity of our AI/ML features across web, mobile, and OTT platforms. We're looking for a candidate with a strong background in streaming QA and deep technical knowledge of media workflows. You'll be instrumental in collaborating with engineering, product, and data science teams to define comprehensive QA strategies that guarantee both functional excellence and data-level quality This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Design and lead test strategies for streaming workflows, playback systems, and AI-powered features. Test across platforms (web, mobile, and connected TV) to ensure functional parity and playback stability. Validate streaming performance—including ABR logic, encoding pipelines, and DRM integrations—under diverse real-world conditions. Debug with precision using tools like Charles Proxy, Chrome DevTools, ADB, and Xcode. Collaborate with data and ML teams to validate AI model updates, recommendations, and personalization accuracy. Leverage AI-assisted QA tools to enhance regression coverage, UI validation, and anomaly detection. Contribute to automation and CI/CD frameworks, driving faster, more reliable releases. Oversee QA deliverables for multiple concurrent releases and ensure seamless sign-off for production launches. Monitor live environments for playback or recommendation anomalies post-release and escalate issues promptly. Continuously improve QA processes, metrics, and reporting for streaming and AI validation. Your Background: Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent hands-on experi

REQ ID - CSQ427R107 Location: Toronto, ON Build and lead a team of Delivery Solution Architects. DSA’s lead the post sales technical strategy for our largest Enterprise customers, with a focus on ensuring use cases go into production as quickly and smoothly as possible. This requires resource orchestration skills and a solid understanding of Databricks technology and the Data+AI ecosystem. As a DSA Manager, you will shape and monitor the post sales execution strategy for the customers in your region, in close collaboration with our sales, pre-sales and professional services teams as well as partners. You will be responsible for the DSA team in the Canada region and you will report to the Director, Field Engineering in Canada. You will make investment decisions in collaboration with the sales and pre sales managers for your region. You will help shape and adjust the value proposition of the DSA role for your region and promote it in front of sales teams and customers. You will be technical sponsor and thought-leader to a select number of customers. You will hire and coach your team to prioritize and work with different customer stakeholders up to C-level executives, with the goal of driving usage growth by getting use cases into production, faster. You and your team will contribute to the creation of assets to build the Delivery Solution Architecture practice and improve effectiveness and consistency in working with customers. The Impact You Will Have Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (usage growth, career growth and hiring) Hire, coach, and grow a team of Delivery Solutions Architects for a company in high-growth mode Keep your team of DSA’s ahead of the technical curve. A DSA adds value by maintaining advanced knowledge of the technology stack, and advising customers on the best use of it in their architecture. You will make sure that your team is continuously learning and stay

Thoughtworks is seeking industry- and market-relevant business development professionals to join and lead a sector of our client growth in the Singapore region. Business Development Managers at Thoughtworks are responsible for developing and securing a pipeline of new opportunities and building relationships with both new clients and in new areas of existing client organizations. As a Business Development Manager (BDM) you are responsible for prospecting, shaping and selling aspirational engagements for our clients as well as for Thoughtworks. Your responsibilities and accountabilities include prospecting, identifying and qualifying new opportunities, building trust with potential clients, shaping deals, developing winning value propositions, tightly orchestrating sales pitches, proposals and orals, negotiating win / win agreements with prospective clients, and expanding follow-on sales to create a sustainable business within each account. You will work across client organizations, from C-level and board members to front line business and technical staff, building relationships to secure long-lasting business opportunities. To be successful, you will have multiple years of consultative selling experience within an enterprise IT services company. Your experience should demonstrate industry relevance and expertise across one or more industry domains. You will have sold custom software application development and digital transformation services, and have demonstrated proficiency in prospecting, leading and securing custom software and digital transformation deals with significant total contract value (TCV). You will have expertise dealing with both business and IT leaders and executives. Industry Expertise and Strategic Focus: You will bring deep expertise, insights, and credibility in the key industry: Healthcare, Life Sciences and Public Sector As a seasoned industry specialist, you have spent your career enabling clients to solve comple