Lead Expert Jobs

Lead the future of insider risk management by delivering strategic controls that protect our clients, strengthen governance, and enable secure transformation across financial services. The Role As a Project Manager within our Banking & Payments Practice, you will lead the delivery of a complex Insider Risk Controls Program for a leading financial services client. Working across multiple business and technology functions, you will oversee the successful implementation of regulatory, security, fraud, AML, and risk management initiatives while ensuring strong governance, stakeholder engagement, and delivery excellence. This is an exciting opportunity to work at the intersection of cybersecurity, risk, and transformation, helping clients strengthen their control environment while driving measurable business outcomes. What You'll Do Lead the delivery of the Insider Risk Controls Program, ensuring alignment with regulatory, cybersecurity, fraud, AML, and enterprise risk objectives. Develop and manage integrated program plans, budgets, milestones, dependencies, risks, and reporting across multiple workstreams. Coordinate cross-functional teams including Cybersecurity, Corporate Security, Fraud, AML, Compliance, HR, Legal, and Technology to deliver successful outcomes. Drive governance forums, executive reporting, stakeholder communications, and issue resolution while maintaining program transparency. Ensure controls, policies, business requirements, and technology solutions are delivered on schedule, within scope, and support audit and regulatory readiness. What We're Looking For Proven experience leading large-scale regulatory, risk, security, or transformation programs within banking or financial services. Strong program and stakeholder management skills with the ability to influence senior leaders across business and technology functions. Experience working across cybersecurity, fraud, AML, compliance, operational risk, or governance initiatives. Excellent communica

About the Role We are seeking a skilled GTM Engineer to join our team. In this role, you will architect an AI-native tech stack with seamless integrations and build a cohesive, automated engine to drive measurable revenue outcomes. As a builder and systems thinker, you will play a vital role in automating processes, maintaining data integrity, and turning GTM strategy into scalable systems. Responsibilities Architect the GTM Tech Stack: Build an AI native tech stack with seamless integrations. Centralize Data: Build a cohesive, automated engine that centralizes data in CRM and eventually data warehouse (Salesforce, Hubspot, Snowflake, Clay, Claude Cowork). Own Data Integrity: Build and maintain the data flows, enrichment logic, and sync architecture that keep our systems accurate, deduped, and trustworthy end-to-end. Turn Strategy into Systems: Partner with leadership to translate GTM strategy into automated playbooks, dynamic scoring models, and signal-based workflows that drive measurable revenue outcomes. Lead CPQ System Design: Lead system design for Salesforce CPQ, including product catalog architecture, pricing and discount rules, quote templates, and approval workflows. Optimize Conversions: Optimize quote-to-order conversion ensuring accurate data flow into downstream billing and ERP systems. Implement Governance: Implement governance on pricing, discounting, and quote approval thresholds to maintain margin and compliance integrity. Improve Deal Velocity: Improve deal velocity by streamlining approvals, leveraging Salesforce CPQ (Revenue Cloud). Integrate CLM Tools: Integrate CLM (e.g., Ironclad, Conga, or DocuSign CLM) with Salesforce to automate quote-to-contract and contract-to-order workflows. Automate Bottlenecks: Identify repetitive work across the GTM org - account research, CRM hygiene, post-call follow-ups - and replace it with intelligent automation using APIs, webhooks, and AI agents. Requirements Experience: Have 3–5+ years of experience operatin

REQ ID - FEQ327R385 Locations: Arizona, Utah, Southern California Mission We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space. Outcomes You work with multiple clients as the main technical voice for Databricks. You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You implement the technical strategy in the account, in close understanding of the strategy. You build a movement of technical champions within the account. You align technical strategies around Databricks solutions. You provide structured mentorship for other team members. Gain the respect of your peers based on your experience, insight, and contributions. Competencies: Proficiency at establishing virtual teams, and leading them to ultimate success within the account. Experience working very large (> $1m ARR), global accounts. Form relationships with executives and influencers. Present a convincing point-of-view to important decision-makers that leads them down a path of success. Technical in big data, data science and cloud. An ability in data-driven business transformation, and driving change with data. Production programming experien

AI Engineer Role Overview: As an AI Engineer at Particle41 you will design, develop and deploy machine-learning and deep-learning models/solutions (including generative-AI) that address complex business problems. You will collaborate with data scientists, data engineers, software engineers and client stakeholders. You will also build scalable pipelines, ensure production readiness, monitor performance and iterate proactively. In This Role, You Will: Lead end-to-end development of AI/ML models: from data ingestion & preprocessing to model training, evaluation, deployment and monitoring. Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals. Work closely with data engineering teams to build/maintain data pipelines, feature stores and orchestration frameworks. Develop and integrate AI models into production systems (APIs, microservices, cloud deployments). Optimize models/solutions for performance, scalability, robustness and cost-efficiency. Monitor models/ solutions’ performance in production (drift, bias, fairness, reliability) and implement remediation. Document model design, experiments, data provenance and solution rationale. Stay abreast of latest AI/ML research, frameworks, tools (e.g. LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit etc.) and propose innovative ideas. Work directly with clients to understand problem statements, translate business requirements into AI solutions, and clearly communicate results. Skills and Experience We Value: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 3+ years of hands-on experience in AI/ML model development and deployment. Strong programming skills in Python and experience with major ML/AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph). Experience with vector databases (e.g., Pinecone, FAISS), RAG and Agentic workflows. Experience building or fine-tuning Large Language

Role Overview We are seeking a highly experienced, data-driven Fraud Risk Management professional to lead our fraud detection, investigation, and regulatory compliance frameworks. In this role, you will be responsible for safeguarding our digital payments ecosystem (including UPI, IMPS, Wallets, and Merchant platforms) by engineering advanced risk rules, optimizing machine learning models, and leading high-performing operational teams. You will also act as a primary liaison with key regulatory bodies (RBI, NPCI) and Law Enforcement Agencies (LEAs) to ensure ironclad compliance and proactive risk mitigation. Key Responsibilities 1. Regulatory Compliance & Governance  Implement Circulars: Spearhead the end-to-end implementation of all fraud risk-related circulars and compliance mandates from the RBI, NPCI, and FIU.  Regulatory Confirmation: Own and ensure the timely, accurate submission of critical regulatory implementations on the PCOMP portal.  Stakeholder Liaison: Serve as the primary point of contact for ad-hoc risk inquiries from regulatory bodies and Law Enforcement Agencies (LEA).  Executive Reporting: Prepare and present advanced data analysis and high-level risk reports for Board-level forums, including the Risk Management Committee (RMC). 2. Risk Rule Engineering & Advanced Analytics  Rule Development: Codify, test, and deploy hundreds of high-impact risk rules (velocity, blacklists, compliance) using Python and SQL to counter emerging fraud vectors.  Data Analysis: Query and analyze large-scale transactional and profile data to identify patterns, build automated daily alert reports, and perform Root Cause Analysis (RCA).  ML Model Optimization: Partner cross-functionally with Tech and Data Science teams to refine and optimize Machine Learning/AI-driven risk models to boost detection efficiency and reduce false positives. 3. Fraud Investigations & Operations  Investigations: Lead end-to-end investigations into sophisticated digital payme

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering®, the rich storytelling of Dungeons & Dragons®, or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure. We're looking for a Manager, Data Analytics to lead our analytics team and drive data-informed decision-making across our commercial, sales, and go-to-market functions. You'll lead a team of analysts, lead the analytics roadmap, and serve as the connective tissue between business partners and the data organization. This is a people-first leadership role for someone who can mentor and develop talent, champion data quality, and translate complex business problems into clear analytical strategies — while What You'll Do: We rely on our Analytics Manager to build a high-performing team and a culture of curiosity. In this role, you will: Lead and develop a team of business and data analysts, providing coaching, career growth support, and day-to-day guidance. Be responsible for the analytics roadmap for commercial, sales, and go-to-market teams — prioritizing work, managing capacity

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

This Engineering Manager will lead the Data Visualizations Explorations team within the Graphing organization, setting product direction, and coaching and developing team members. They will staff and drive projects that build end to end experiences for Datadog’s core users: observability engineers. This includes extending the capabilities of core widgets like Hostmap and Geomap Visualizations and finding innovative ways to leverage existing Datadog data sources. This role also involves close partnerships with other product teams to deeply understand customer needs and deliver compelling data experiences. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Work with Product Management and Design to plan and staff projects for the Data Visualization Explorations team Coach and develop engineers at various levels Ensure strong cross-team communication and design best practices around project management, code review, architecture patterns, and more. Proactively anticipate cross-team dependencies and blockers to goals. Identify opportunities to appropriately reuse or customize features across dashboards, notebooks, and product pages. Deeply understand the needs of our customers and other Datadog products we work with. Participate in customer conversations, review product briefs, read feature requests, and coach team members to adopt these practices as well. Define and maintain high standards for operations practices, including bug triage and remediation, incident response, and gathering and analyzing performance telemetry for our widgets. Who You Are: At least 2 years of people management experience in a software engineering or similar setting Strong TypeScript/JavaScript skills, including familiarity with front

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a SoC Physical Design Verification Engineer to drive full-chip signoff and ensure manufacturable, high-quality silicon across advanced technology nodes. You’ll lead physical verification closure (DRC, LVS, ERC, etc.), debug issues using standard industry PV tools, and collaborate across RTL, PD, CAD, and packaging teams to achieve successful tapeouts. If you thrive in a fast-paced environment and enjoy solving complex challenges in cutting-edge silicon, we’d love to hear from you. This role is hybrid , based out of Santa Clara, CA or Austin, TX or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A seasoned engineer with a strong background in CPU/IP/SoC physical verification and tapeout closure. A hands-on problem solver who excels at debugging and driving signoff through complex verification flows. A collaborative team player who works effectively across RTL, PD, CAD, and foundry interfaces. A mentor and technical leader passionate about building efficient, manufacturable silicon. What We Need BS/MS in Electrical/Electronics Engineering (or related) with 7–14 years of hands-on CPU/IP/SoC physical verif

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Senior Principal, Technical Program Management within Research & Development (R&D). About the job Twilio is the world’s leading customer engagement platform empowering developers to build modern communication applications and experiences designed to be trusted, simple and smart. Twilio is looking for a Senior Principal Technical Program Manager to help direct a portfolio of strategic, complex, and multidisciplinary programs that significantly accelerate R&D's business impact. You'll set program strategy and lead program teams to successfully deliver business, operational, and technical improvements across Engineering & Product organizations. As a trusted strategic advisor, you will play a critical role in driving alignment, setting priorities, and delivering high-impact programs that advance strategic initiatives. The Senior Principal, Technical Program Management is highly visible and require

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking an Physical Design Engineer to lead cross-functional efforts to solve complex physical design challenges and develop end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities. This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who you are BS in Electrical or Computer Engineering (or equivalent experience) with 5+ years in Physical Design CAD methodology at advanced nodes. Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs. Hands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows. Strong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independent

Overview Role: Lead Software Engineer - DevOps and Infra 5 days a week in NYC HQ Base salary: $175k-250k Equity: Competitive Initial Equity Package + refreshers 3+ Years of Experience About Pillar Pillar is building the next-generation commodity risk management stack for the $10T physical economy. We combine real-time marketdata with AI-powered exposure modeling and automated trade generation to arm operators with precise protection from volatility. From instant execution to continuous monitoring, alerts, and recommendations, Pillar turns complex market risk into a fully managed, always-on hedging engine. We were founded in 2023 by the youngest macro market-maker at Barclays and a trading systems engineer at Coinbase, and have raised over $20M in capital from Andreesen Horowitz (a16z), Crucible Capital, Neo, DST Global and more. What You’ll Do Expand and Own the AWS Cloud: You will take full ownership of our AWS environment. We aren't just looking for someone to keep the lights on; we want you to architect, scale, and optimize our cloud footprint to support new services, ensuring our AWS presence is robust, cost-effective, and deeply integrated with our core trading systems. Architect the Infrastructure Stack: You will lead our transition to a full Infrastructure as Code (IaC) model . Your goal is to eliminate manual configuration by building out a sophisticated, modular Terraform stack. We want a world where our entire hybrid footprint—from cloud instances to colocation networking—is defined, tested, and deployed through code. System Hardening & Security: You’ll be the gatekeeper for our environments. This means managing the full lifecycle of container security, CVE remediation, and hitting our SOC2 milestones without slowing down the team. Observability Architecture: Beyond just setting up dashboards, you will design our monitoring strategy using to catch bottlenecks before they become outages. Pipeline Evolution: You'll refine our GitHub Actions and CI/CD wor

Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers while producing minimal noise. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members. What you’ll do: Lead the development of major structural airframe assemblies from preliminary design through certification, and manufacturing ramp up Prioritize task allocation to other team members to achieve the schedule milestones Apply in depth understanding of load paths, design best practices, and hand calcs to design robust structural configurations Apply design for manufacturing concepts to create designs that are cost effective and easy to fabricate at rate. Preferred experience with composite sandwich construction and adhesive paste bonding Develop company standards for composite and metallic part CAD models and drawings Work closely with and mentor other engineers on the design, stress and M&P teams Provide technical guidance on design concepts (risk vs. cost vs. performance) Support manufacturing to validate and verify that designs meet requirements and specifications What you need: 7+ years of experience with lightweight structures (aircraft, spacecraft, other high performance vehicles) Bachelor’s degree in an Engineering field Ability to design and analyze simple components A deep understanding of load paths and laminate design fundamentals Strong CAD skills in NX (preferred), Solidworks, Catia or Creo Familiarity with PDM systems Experience with the manufacturing of composite parts

The Role This is an excellent opportunity to work alongside our established team who will support you to utilise and enhance your advisory and insolvency skills and experience. You will work alongside some of the most experienced practitioners in the field advising the boards, management teams, lenders and shareholders of companies which are underperforming and/or facing any financial stress. Our North team has recently led a number of high profile regional insolvencies (including the Black Sheep Brewery, WN VTech and TXM Plant Administrations), as well as working on complex and challenging advisory assignments We work with a full spectrum of companies from SME to PLC. As a Manager / Associate Director in the team, you will have the opportunity to work and lead on a diverse range of engagements across all sectors, with plenty of responsibility for leading workstreams, managing junior staff and supporting Directors and Senior Managing Directors in client-facing delivery. Key Responsibilities Client service Manage parts of the engagement, including managing junior staff and providing support to the Senior Managing Director/ Director in managing external stakeholders. Providing comprehensive financial restructuring and cash management services to identify working capital and other cash flow improvements. Reviewing and stress-testing integrated business plans, budgeting and forecasting models using a fact-based, data driven approach. Develop, analyse and present Financial Advisory options using input from other teams, e.g. tax analysis, sector and financial modelling. Produce high quality deliverables within planned timescales. Liaise with the company’s / lender’s legal advisors to understand key aspects of legal documentation and also drive any documentation processes (term sheets, waivers, loan documentation, insolvency sale and trading agreements etc.) Developing and inputting into insolvency strategies. Delivering key aspects of insolvency ass

AI Engineer Role Overview: As an AI Engineer at Particle41 you will design, develop and deploy machine-learning and deep-learning models/solutions (including generative-AI) that address complex business problems. You will collaborate with data scientists, data engineers, software engineers and client stakeholders. You will also build scalable pipelines, ensure production readiness, monitor performance and iterate proactively. In This Role, You Will: Lead end-to-end development of AI/ML models: from data ingestion & preprocessing to model training, evaluation, deployment and monitoring. Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals. Work closely with data engineering teams to build/maintain data pipelines, feature stores and orchestration frameworks. Develop and integrate AI models into production systems (APIs, microservices, cloud deployments). Optimize models/solutions for performance, scalability, robustness and cost-efficiency. Monitor models/ solutions’ performance in production (drift, bias, fairness, reliability) and implement remediation. Document model design, experiments, data provenance and solution rationale. Stay abreast of latest AI/ML research, frameworks, tools (e.g. LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit etc.) and propose innovative ideas. Work directly with clients to understand problem statements, translate business requirements into AI solutions, and clearly communicate results. Skills and Experience We Value: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 3+ years of hands-on experience in AI/ML model development and deployment. Strong programming skills in Python and experience with major ML/AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph). Experience with vector databases (e.g., Pinecone, FAISS), RAG and Agentic workflows. Experience building or fine-tuning Large Language