Sourcer Jobs

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. CLEAR1 is CLEAR's B2B identity verification business, serving enterprise, healthcare, and workforce customers through direct sales and partners. We are growing fast and need a Revenue Operations Leader who can build the operating model to match. This is a strategy and accountability role. You will own how the go-to-market team plans, measures, forecasts, and runs its process across the full customer lifecycle, from first touch through renewal and expansion. You will define what our revenue numbers mean and where they come from, make them consistent from rep to Board, and hold the team to the process that produces them. You will be the CRO's partner on where to invest and what is working. You have done this before at a growth-stage B2B company, you think like a finance partner as much as an operator, and you direct systems work without needing to do it yourself. What you'll do: Own CLEAR1’s revenue operating model, partnering with the CRO and Finance on annual and quarterly planning across capacity, quotas, coverage, pipeline targets, and investment decisions Establish a single source of truth for revenue performance by defining core metrics, data sources, and reporting across ARR, net new ARR, GRR, NRR, pipeline coverage, win rate, sales cycle, and CAC payback; own executive and Board-level reporting Lead forecasting and revenue accountability end to end across new business, renewals, and expansion, establishing clear definitions, cadence, and ownership while continuously improving forecast accuracy Build and enforce scalable processes

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Team: The Content organization is responsible for identifying, creating, licensing and integrating best-in-class unstructured and structured data that is both self-sourced and from third party content providers. The Content teams report to the Chief Content Officer and have strategy, product management, content operations and support responsibilities for each Content vertical. We have been experiencing a rapid growth cycle across all content sets, including Transactions and Funding Rounds. We value and uphold transparency, trust and accountability in our relationships within the team and with external and internal stakeholders. Responsibilities: Functional ownership of components of the Transactions content pipeline (e.g. M&A deals, Rounds of Funding) overseeing key aspects of content generation and integration: initial business requirement

About The Role The Director, Strategic Alliances, EMEA will be responsible for defining and executing Diligent's partnerships strategy across the EMEA region as a senior individual contributor. This role will focus on identifying, structuring, and closing high-impact strategic partner-led deals that accelerate customer acquisition, expand Diligent's enterprise footprint, and drive revenue growth through partner resell and co-sell motions — with a particular focus on advisory and consulting firms (Big 4 and Tier 2) and large resellers/channel partners. This senior leader will develop deep insight into regional market dynamics and build the foundational partner ecosystem across advisory/consulting firms, resellers, and channel partners at the pace needed to match Diligent's rapid growth. This is fundamentally a builder's role — the person in this seat will need to build and own the region and its relationships largely from the ground up. This role requires close collaboration with Sales, Product, Marketing, and Customer Success teams. Success will be measured by partner-sourced and partner-influenced revenue, new logo acquisition, expansion of product usage through partners, and the establishment of scalable partnership models that can be operationalized as the business grows. Responsibilities Partnership Strategy & Execution Execute the EMEA partner strategy in alignment with Diligent's global objectives and regional go-to-market plans. Identify, prioritize, and secure strategic partnerships across advisory/consulting firms (Big 4 and Tier 2) Develop partner value propositions, commercial frameworks, and engagement models tailored to EMEA market needs. Establish repeatable partnership structures, playbooks, and success metrics that can scale over time as the region and partner base grow. Channel & Revenue Impact Drive partner-sourced and partner-influenced p

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: The Scheduled Tasks team builds the platform primitives that let applications and agents run work now, later, or for a long time. We own Vercel Workflows, Queues, and Cron: the systems developers use to build long-running, event-driven, and scheduled applications. You will join a team working at the intersection of developer experience and distributed systems. Together, we are building and scaling the products that make it straightforward for developers to coordinate background work, move messages between services, and schedule work with confidence. You will collaborate closely with engineers across Vercel to make these powerful capabilities feel simple, composable, and native to the platform. What You Will Do: Design, build, and operate platform capabilities across Workflows, Queues, and Cron. Help developers build applications and agents that coordinate background, event-driven, and scheduled work. Build APIs, SDKs, and tooling that make it easy to define, run, and manage durable work at scale. Work on the distributed-systems foundations behind scheduling, message delivery, execution, retries, and state. Partner with product, developer experience, and infrastructure teams to turn customer needs into clear, useful developer primitives. Raise the engineering bar through thoughtful design reviews, well-tested code, production ownership, and clear technical communication. Engage with developers and the open-source community to understand where background jobs, queues, and scheduling create friction—and use that feedback to improve th

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. The Release Engineer is responsible for implementing and supporting automated software delivery processes that enable reliable, secure, and repeatable deployments across development, test, non-production, and production environments. This role serves as a technical bridge between Software Engineering, Quality Engineering, Infrastructure, and Operations teams to improve deployment speed, stability, and operational efficiency. The Release Engineer is responsible for implementing and supporting automated software delivery processes that enable reliable, secure, and repeatable deployments across development, test, non-production, and production environments. This role serves as a technical bridge between Software Engineering, Quality Engineering, Infrastructure, and Operations teams to improve deployment speed, stability, and operational efficiency. Key Responsibilities Develop, support, and maintain automated CI/CD pipelines to streamline application delivery. Standardize build, release, and deployment processes across applications and platforms. Establish repeatable, auditable, and traceable release management practices to ensure deployment consistency and compliance. Manage and support Git-based source control, branching strategies, and release workflows. Integrate automated testing, quality gates, security controls, and compliance checks into deploym

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology seeks a passionate, strategic, and community-centered Principal, Social Impact & Community Engagement to advance its social impact initiatives in New York and Minnesota. This position will also oversee the educator capacity building body of work. This position provides a superb chance to serve as Micron's local advocate for inclusive STEM and AI education. It involves supporting community efforts and employee participation at two diverse locations. Reporting directly to the North America Regional Director of SICE, you will lead the community engagement lifecycle for your territories. This involves sourcing and managing grants, mobilizing employee volunteers and donors, establishing partnerships with nonprofits, government, and civic groups, and representing Micron as a trusted and visible corporate citizen. You will be part of a globally minded, fast-paced team that prioritizes outcomes over outputs, innovation over inertia, and community as a core business priority. If you thrive at the intersection of strategy and service, build trust with communities, navigate sophisticated corporate environments, and embraces Artificial Intelligence and digital tools, we want to meet you! Responsibilities: Grantmaking & Portfolio Management: Source, build, and supervise a local grants portfolio consistent with Micron's social impact strategy. Emphasize growing access to STEM and AI educa

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About Modal Data: We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction. The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work. We do this via: Self-serve AI analytics tools (Hex, Snowflake) Embedding with teams as a “data adviser”, providing strategic analysis and consulting What You'll Do: Contribute to building the most modern analytics stack in Data today to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting Influence work on new products like LLM Inference Endpoints through product analytics tracking Identify millions of dollars of cost savings and optimization across our tools and financial operations Write data pipelines that power the operatio

We are seeking a highly motivated and experienced Lead Java Developer to join our Credit Risk Technology team. This is a hands-on leadership role where you will be instrumental in designing, developing, and deploying robust, high-performance, and large-scale software solutions for Counterparty Credit Risk Management. You will be at the forefront of firm-wide initiatives, leveraging best-in-class software stacks and cutting-edge AI tools to solve complex challenges. You will lead a team of talented engineers, providing technical guidance, fostering innovation, and ensuring the delivery of high-quality, scalable, and resilient software. The ideal candidate is passionate about modern software development practices, proficient with contemporary tech stacks, and eager to utilize artificial intelligence to manage Citi’s exposure to financial institutions, governments, and corporates. This role offers the opportunity to make a significant impact by contributing to critical systems that provide an integrated view of trades, collateral, and market data from numerous sources. Key Responsibilities: Technical Leadership & Hands-On Development: Lead by example, actively contributing to the design, architecture, and hands-on development of critical software components for Counterparty Credit Risk Management leveraging AI tools such as Devin and Co-Pilot Drive technical excellence, ensuring best practices in coding, testing, and deployment are followed for high-performance and large-scale applications. Conduct code reviews, provide constructive feedback, and mentor team members in advanced development techniques. Team Leadership & Management: Supervise work of a team of software engineers Foster a collaborative, innovative, and inclusive team environment focused on tackling challenging firm-wide initiatives. Allocate resources effectively to meet project deadlines an

Become a part of our caring community The Care Management Support Assistant contributes to administration of care management. Provides non-clinical support to the assessment and evaluation of members' needs and requirements to achieve and/or maintain optimal wellness state by guiding members/families toward and facilitate interaction with resources appropriate for the care and wellbeing of members. The Care Management Support Assistant performs basic administrative/clerical/operational/customer support/computational tasks. Typically works on routine and patterned assignments. The Care Management Support Assistant will review inbound referrals and correspondence for processing, fulfilment or resolution utilizing all appropriate software systems and resources. Screen physician’s orders and documentation to identify that all qualifying medical documentation and required information is included. When necessary, request additional applicable information from referring entity. Perform verification of benefits coverage and eligibility for services per Health Plan contract. Review referral data matching it against specified medical terms and diagnoses or procedure codes and follow established procedures for approving request or referring request for further review. Provide referral management education to members and providers regarding medical benefits, referral status and prior authorizations. Communicate with patient to confirm demographics and explain the details of the services/care requested. Coordinate the timely delivery of care and services with providers. Also communicate with referring entities, providers, and members regarding final referral determination while maintaining detailed documentation to record patient, physician, referral source and provider interactions and communications. Work with Pre-Authorization, Utilization Management, Billing, Pharmacy, and Home Care r

As a Software Solution Architect, NVIS at NVIDIA, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the world’s most advanced accelerated computing environments! What you'll be doing: Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization. Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central. Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software. Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows. Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs. Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems. Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows. Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to

NVIDIA’s Silicon Co-Design Group sits at the crossroads of architecture, silicon, systems, and manufacturing, where first-principles thinking and engineering judgment at the highest level translate directly into product outcomes at scale. We are looking for a Principal Performance and Manufacturing Architect who has built the models, defined the specs, and seen them validated through silicon. You have owned the connection between design intent and manufacturing reality, not as a reviewer or a contributor, but as the person who set the methodology and proved it worked. You turn ambiguous physical phenomena into quantified, defensible margin terms. You do not wait for data to confirm your hypothesis; you design the experiment that gets it. You improve how the organization ships products after every program. The exceptional hire also uses AI deliberately — with proven workflow impact and the judgment to know where it compresses real work and where it introduces risk. What you'll be doing: Own the physics, from mechanism to margin. Build first-principles models connecting AVF, defect mechanisms, and DVFS transients to field FIT, system-level yield, and DPPM vs. coverage — calibrated per node and population shift — so every margin term in the V/F curve and P-state table is named, sourced, and defensible. Set the screen that resolves escapes. Specify ATE and SLT voltage, frequency, and timing conditions that capture worst-case transient VF windows — making it unambiguous whether a marginal defect or timing violation is detected or escapes at every manufacturing stage. Make the POR the authoritative source. Author the methodology document for each program and drive alignment across build, product definition, reliability, and test engineering — so every team is making decisions from the same model. Prove the model before produc

We're building the platform that lets long-running autonomous agents operate safely inside NVIDIA's enterprise. These are not assistants on a developer's laptop. They are fleets of agents deployed in the cloud, running continuously at scale on shared accelerated compute. They take on real work across enterprise systems, so people get far more done than they could before. This role defines the constructs that agents are built from: the blueprints they start from, the tools, skills, and plugins that power them against enterprise data, the runtime safety harness that keeps them in bounds, and the connections into credential management, sandbox, memory, and observability. The team designs and ships these building blocks so that agent developers across the company can stand up a new agent, wire it in, and run it for days or weeks. Security and safe execution come out of the box, not something each team has to get right on its own. Today an agent runs inside a single harness. Claude, Codex, and open-source agent harnesses each work differently underneath, with their own execution model, tool interface, and telemetry shape. The platform smooths over those differences, so a single skill, safety policy, or trace works the same no matter which harness is running. We want to enable agents that act on a person's behalf, governed and secure, continuously evaluated and self-improving. These agents coordinate and hand work off to each other, with identity and policy following every hop. They route and tune themselves across harnesses from live eval signals, and get better from their own production telemetry instead of waiting on a human to retrain them. Have you run agents on a harness like Claude or Codex and hit the walls that show up when they run for real, for days, against live systems — and wanted them to learn from it on their own? We're building the platform that solves those problems once, for every team. What you'll b

The DFP Engineer – Manufacturing role defines and implements the validation and screening of new silicon features within high‑volume manufacturing flows. You will translate product requirements into executable test methodologies, infrastructure, and detailed manufacturing test plans that ensure quality, yield, and efficiency at scale. This role sits at the intersection of multiple multi-functional teams to make manufacturing test an outstanding part of the overall codesign and DFP lifecycle. What you will be doing: Own end-to-end manufacturing test methodology across all test stages. Translate system specs and product POR into DFP requirements, test content, coverage, and flows. Define and maintain the DFP roadmap, including infrastructure and turning point planning. Partner multi-functionally to implement test content, debug hooks, and coverage improvements. Drive alignment on manufacturability, test time, binning strategies, and cost vs. coverage trade-offs. Embed testability requirements into design to enable robust screening and debug. Define data and analytics frameworks to support yield analysis and continuous improvement. Lead DFP documentation as the single source of truth and feed findings into future methodologies. What we need to see: MS in Electrical Engineering, Computer Engineering, or related field (or equivalent experience) 6&#43; years in silicon post‑silicon validation and/or high‑volume manufacturing test for complex SoCs, GPUs, CPUs, or similar. Hands‑on experience with test content bring‑up, limit setting, correlation to characterization, and yield/coverage optimization. Proficiency with scripting and data analysis (e.g., Python, MATLAB, R, SQL) for test data analytics, limit tuning, and yield/debug analysis. <

NVIDIA silicon runs the world's AI infrastructure. The frequency it delivers across every voltage, process corner, and workload is not assumed. It is measured, correlated, and validated. This role does that work. The Silicon Co-Design Group is where architecture intent becomes silicon reality. We own the boundary between what was designed and what was built, and we are the team that knows the difference. When a program ships at frequency and at quality, this team is a reason why. You will be the person who follows through between simulation and silicon. When the model is wrong, a frequency corner that doesn't hold, a Vmin that walks, a critical path that timing analysis missed, you find out why, and your data is what the rest of the program acts on. Architecture, design, and product teams do not guess. They use your numbers. The engineers who do this well are rare. They think like circuit designers, work like experimentalists, and reason like data scientists. If that is you, read on. What you'll be doing: Own silicon speed characterization from first power-on through production sign-off, covering frequency, Vmin, Vmax, and timing margins across the full PVT space. Close the correlation gap. Tie pre-silicon timing analysis and critical path predictions to measured silicon, quantify where the model diverges from reality, and produce analysis that architecture and design can act on with confidence. Trace failures to their source, whether a microarchitectural bottleneck, a critical path that doesn't close under voltage, a clocking issue, or a process corner the model didn't anticipate, and drive the resolution. Own and build AI agents that work at your direction: automated test orchestration, intelligent data pipelines, and analysis flows that expand coverage and compress cycle time without sacrificing difficulty. Know where AI accelerates real work and whe

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Product Management - Data Provider Solutions (Open Finance) Overview Empowering consumers and businesses to harness the power of their data through Open Finance, Mastercard is helping shape the future of how financial data is shared, accessed, and transformed into value. The Data Access team is responsible for the connectivity that fuels this system — building and growing the partnerships, platforms, and capabilities that power Mastercard Open Finance, working across financial institutions, fintechs, digital banking providers, technology partners, and industry organizations. Within Data Access, the Data Provider Solutions (DPS) team represents the voice of the data provider. We help financial institutions strengthen connectivity, improve data quality, gain greater visibility and control, and unlock new sources of value from their participation in the Open Finance ecosystem. Our team sits at the intersection of connectivity, data, product innovation, and commercial strategy, helping shape the future of how providers engage with Open Finance. As a Product Manager, you will play a critical role in building and evolving the data assets, APIs, and intelligence capabilities that power provider experiences across Mastercard Open Finance. You will own strategic products and platforms, pa