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Team Lead Trade Analytics And Market Intelligence Jobs

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Explore current team lead trade analytics and market intelligence jobs. Use filters to narrow by work mode, employment type, experience and date posted.

DC
Diligent Corporation
📍 Vancouver• Full-time• C$90K – C$107K/yr
Just now

Platform administration isn't the part of the product anyone screenshots for a demo. Nobody's writing a blog post about your identity provisioning flow. But it's the thing every other team at Diligent quietly depends on more than any other dev team in the company and when it breaks, everyone notices immediately. If that kind of quiet, high-stakes ownership sounds appealing rather than thankless, keep reading. This role is for someone who wants real skin in the game: you build it, you ship it, you support it. We're a high-initiative team that improves things we see first and asks permission later, building secure, event-driven microservices in TypeScript on AWS, and treating infrastructure as code the same way we treat application code: with rigor, not as an afterthought. Here's a breakdown of what you'll do (not all of it, just the important stuff) Design and build secure, scalable full-stack services using AWS serverless tech (Lambda, SQS, API Gateway) — with real attention to event-driven patterns and observability, not just "does it work on my machine." Own your services in production. That means building good observability, keeping an eye on alerts, and responding to them before they become bigger problems. Build infrastructure as code with AWS CDK and push for CI/CD that ships safely and often — not "big bang" releases you have to pray over. Design RESTful APIs other teams will actually want to consume: clear contracts, sane versioning, no surprises. Write tests — unit, integration, end-to-end — as part of how you build, not a chore you do after. Show up to architecture discussions with opinions and documentation, not just vibes. Use AI tools to move faster on coding, debugging, testing, and research — but you're still the one who validates the output. These are the essentials you'll need to get an interview 2-3 years of professional software engineering experience in an agile, full-stack-focused environment. Solid full-stack fundamentals: request lifecycles, d

typescriptnode.jssql
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DC
Diligent Corporation
📍 New York• Full-time• $100K – $124K/yr
Just now

Position Overview Diligent is looking for an experienced GRC Advisor to join the team and work on Key accounts to drive adoption and retention and identify areas for expansion within our platform. This position will leverage our GTM, and value drivers established through combining people, process, and technology. If you are anything like the talented GRC Advisors at Diligent then this feeling you have, might be the desire to serve others- but you are blinded by the limits placed on you in your current role. The Client Success Advisor role is key to Diligent’s Customer Success retention strategy. Key Responsibilities Provide guidance and best practices on configuring, customizing, and optimizing the functionality of the GRC platform and modules to align with clients’ business processes and objectives. Conduct in-depth assessments of clients’ GRC requirements, objectives, and challenges to recommend tailored solutions to address their business needs and goals. Collaborate with clients on internal roadmaps, governance, risk, and compliance requirements to be implemented within Diligent’s platform. Ensure proper understanding and adoption of the platform solutions to identify at-risk clients and help increase usage of the software and modules. Partner closely with internal Product, Customer Success, Support, and Sales teams to drive continuous improvement of the platform based on client use cases. Monitor industry trends, regulatory developments, and emerging best practices in the GRC landscape to proactively share insights and recommendations with clients from a subject matter expert perspective. Required Experience/Skills Minimum of 5-7 years of experience in a client-facing role within the legal, audit, risk, or compliance industry. Adaptive mindset and ability to drive out a meaningful path to how our customers see tangible business

airecruitment
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About the Role Support Operations is one of our core operations teams, responsible for making sure that when things go wrong, there's always someone there to make it right. The team designs, manages, and operates a large and growing global network of support centers, with the goal of delivering a world-class customer experience every time. We're looking for an experienced Workforce Planner to help develop and scale our support lines of business. This role is central to planning monthly, daily, and hourly staffing levels, and to keeping hiring plans current so we consistently deliver best-in-class service. You'll play a key part in improving forecast accuracy, reporting, and how we plan around floor staff utilization and efficiency — for a 24/7/365 organization, wherever it operates. You're excited about this opportunity because you will… Capacity planning Build and maintain support capacity plan models at the monthly, weekly, and interval level, using a quantitative model to determine the staff required to service forecasted volumes Match staffing supply to required staff to ensure efficient service level attainment, and make hiring, ramp, and staff-reduction recommendations Keep capacity plans and assumptions accurate, current, and aligned to source-of-truth headcount data, auditing regularly for accuracy Ensure alignment from the smallest site/team level of detail up through the broader org-wide capacity plan Maintain documentation of planning methodology, assumptions, and processes, and continually improve the planning tools, models, and templates themselves Forecasting & scenario planning Forecast incoming contact volume using historical and benchmark data, tracking deviations between forecast and actuals on a regular cadence Build, update, and present "what-if" scenarios to evaluate potential changes and support upcoming initiatives, as well as annual, half-year, and quarterly planning scenarios for long-range and financial planning Build and validate capac

sqlExcelfinance
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D
Datadog
📍 San Francisco• $94K – $125K/yr
Just now

As a Senior Deal Desk Analyst, you will work cross-functionally with our Sales Operations, Billing, Contracts and Legal teams to provide quoting and deal structuring support to the Global Sales Team. This will be a growth position as Datadog’s business continues to expand. 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’ll Do: Develop in-depth knowledge of Datadog’s licensing and pricing models to provide deal structuring and quoting support to our global sales teams Be a creative problem solver who finds a way to meet customers’ needs while adhering to Datadog’s selling policies Solve customer satisfaction issues following execution of the deal Actively negotiate deals directly with the customer as needed Work cross functionally across various stakeholder groups including legal, contracts, sales operations, order management, revenue, finance and product management Function as point of contact and subject matter expert for Sales on deal pricing matters Drive adherence to internal controls, protocols and business rules Who You Are: Experienced in 4+ years of Deal Desk experience Confident in deal structuring/quoting complex SaaS transactions for a fast-growing global company Knowledgeable of revenue recognition principles Comfortable representing the company to customers in negotiations and resolving customer satisfaction issues Strong in your attention to detail and communication skills Able to work independently and multi-task in fast paced, high pressure environment Data-driven with strong quantitative skills Analytical with the ability to approach a problem from multiple perspectives Bonus Points: Experience with Salesforce and CPQ Advance level with MS Excel or similar. Datadog values people from all walks of l

aisalesforceExcel
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D
Datadog
📍 New York• $70K – $93K/yr
Just now

Datadog is seeking a Legal Operations Analyst to join our Legal Operations subgroup. In this role you’ll work closely with individuals across the organization in support of various legal-related matters, with a primary focus on supporting the scalability of the global legal team. The Legal team supports Datadog's rapid growth by providing a wide range of legal services across a highly dynamic technology company, from driving new business via contracts and compliance efforts, to protecting Datadog's intellectual property. Datadog's Legal team collaborates with virtually every team across the organization, from engineering to product to marketing. 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’ll Do: Partner with legal and non-legal process owners to support process improvements, optimization and automations Assist with technical teams to implement solutions and troubleshoot reported issues by the legal team Maintain knowledge resources for all legal subgroups and collaborate with legal and non-legal colleagues on various projects as needed Conduct vendor and customer sanction screenings to identify potential risks and inconsistencies and ensure compliance Analyze and use data to drive initiatives and assist in planning Support technology by becoming a superuser of systems utilized by the legal team Serve as a point of contact for clients and stakeholders, addressing inquiries, concerns and providing timely updates on matters and escalating where appropriate Handle ad hoc projects within the legal subgroups as they arise Who You Are: A Legal Operations Analyst with 2-3 years of experience with legal operations, contract management or project management experience Proficiency with tools e.g. Google Workspace, Brightflag, Docusign, Salesforce, Coupa, Conflue

aisalesforceproject management
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D
Datadog
📍 New York• $135K – $169K/yr
Just now

Business Systems drives efficiency across Datadog through business process analysis, systems automation and integrations, AI agent and MCP development, and vendor/software review. The team is increasingly embedded in cross-functional initiatives across People, Finance, GTM , Legal, Recruiting, and Technical Solutions — translating ambiguous business problems into scoped, buildable solutions and owning delivery end-to-end. This is not a generalist BSA role. Each Senior BSA will own a cluster of business functions end-to-end, acting as an internal product manager for their domain rather than processing inbound requests reactively. There are two openings, each covering a different domain: People, Recruiting, Legal or Finance, GTM, Procurement As the role evolves alongside AI, Senior BSAs leverage agentic tools for data aggregation and context gathering while remaining the critical human-in-the-loop layer — owning business context and product outlook, validating use cases, managing stakeholder relationships, and making the judgment calls agents can't. 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: Discovery and scoping: Translate ambiguous asks from business stakeholders into well-defined requirements that Business Systems Engineers can build against. Many stakeholders don't know what they want or the cross-functional impact of what they're asking for — you surface both before engineering begins. Cross-functional visibility: Identify dependencies, downstream impacts, and integration considerations that requesting teams miss. Proactive opportunity identification: Develop deep domain knowledge to identify automation and AI opportunities before they become inbound requests, shifting the team from reactive in

aisalesforcefinance
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TN
The New York Times
📍 New York• $85K – $100K/yr
Just now

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. We are seeking a Marketing Designer to help bring to life the full-funnel creative strategy and execution for our Games subscription offering. This is a hands-on design role for a creative who can translate the value of all we offer — independent journalism and world-class lifestyle products — into clear, compelling campaigns that drive performance and deepen engagement with Games. Reporting to the Associate Creative Director, Games, Marketing, you will work closely with writers, designers and our audio and video teams, as well as partners in marketing and media strategy, product design, audience insights and brand identity. You'll contribute to integrated campaigns across the full subscriber journey — from full-funnel product launches to subscriber acquisition campaigns to app store optimization efforts and more. We are looking for a designer who is passionate about both exceptional craft and the collaborative process it takes to create it. You thrive at the intersection of brand and performance, are excited to contribute directly to growth and product marketing initiatives, and partner with more senior creative leaders on the team. This is a hybrid role based in our New York City headquarters. You can expect to come into the office three days per week. Responsibilities: Contribute to the development and execution of conceptual, visually compelling campaigns and always-on marketing creative for Games, ensuring work supports awareness, consi

SA
Just now

At Scale, we build the AI systems behind some of the country's most important decisions. On the Public Sector Engineering team, you'll embed directly with U.S. government customers, including the Army, Air Force, Joint commands and Intelligence Community, to build and deploy AI applications that support their most critical missions. This is a hybrid customer-facing engineering role. You'll sit with the people whose problems you're solving, own delivery from first prototype to production, and ship software that customers adopt and rely on in the field. Model performance matters, timelines are urgent, and ambiguity is the norm. Your work directly shapes what Scale's platform can do for the public sector. What you'll do Embed with government customers to understand their mission, scope the problem, and turn it into working software. Own delivery end-to-end: design, build, deploy, and maintain solutions at customer sites, from prototype to stable production. Build robust backend systems and data integrations that connect customer environments to Scale's platform and back. Partner with product and engineering to feed field signals back into the roadmap, so the patterns you build once become capabilities the whole team can reuse. Serve as the technical point of contact for customer stakeholders, guiding adoption and maximizing mission impact. What we're looking for Required 5+ years of software engineering experience, ideally in customer-facing, forward-deployed, or government contexts. Strong production coding in Python and TypeScript (or comparable modern languages). Comfort across the stack, including cloud platforms (AWS, Azure, or GCP), containers, Linux, and networking fundamentals. Ability to operate independently in ambiguous, fast-moving environments and make sound trade-offs under pressure. An active TS/SCI clearance, or eligibility to obtain one. Bonus Experience building or deploying systems powered by LLMs or generative models. Familiarity with Node and

typescriptpythonreact
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SA
Scale AI
📍 San Francisco• $192.8K – $241K/yr
Just now

Frontier AI labs decide what direction their models need to take before the actual training starts. As a Senior Frontier Data Strategist on Scale's Generative AI team, you'll be a trusted voice in those decisions. You'll partner with research leads and senior stakeholders at the world's leading AI labs to shape the data strategy behind their next generation of models, then design the human-data programs to deliver it. You'll sit where frontier research meets Scale's product roadmap, and you'll be expected to move both. With customers, you'll own senior, technically grounded relationships, anticipate where their research is heading, and bring them new data ideas before they ask. Inside Scale, you'll be a leading voice with our AI Product Managers, ML Research, Delivery Operations, and Engagement Management teams, turning what you learn from customers into product priorities and investment decisions. This is a forward-looking, highly cross-functional role. Our Engagement Managers own customer success for live programs; Frontier Data Strategists own everything that comes before it: spotting the need, designing the program, scoping and forecasting it, and winning the work. As a senior member of the team, you'll set the standard for how Scale does this work and help develop the Frontier Data Strategists around you. What you’ll do: Own relationships with senior research stakeholders at your assigned frontier labs, such as research leads, heads of post-training, and technical leadership, and become a strategic thought partner on their post-training, evaluation, and agent roadmaps. Set the data strategy for your accounts: anticipate needs across research areas, spot where the biggest opportunities are, and build a multi-program plan for how Scale can help. Direct the cross-functional team designing Scale's most complex and novel human-data programs, including work that has no precedent at Scale. Shape Scale's product roadmap by representing your customers in planning with A

aifinance
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Scale's public sector business is providing the best of American commercial technology and innovation to protect the homeland and meet the moment. As a member of our public sector delivery team, you will own relationships critical to the portfolio of clients charged with a layered defense for the United States. You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems. All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland. You will: Own technical execution for one or more national security mission areas from initial requirement through deployment and formal evaluation Translate operational workflows into detailed Product Requirements Documents (PRDs), Engineering Requirements Documents (ERDs), and executable engineering work Work alongside engineers during cycle planning to define scope, sequencing, architecture constraints, dependencies, and milestones Maintain end-to-end requirements traceability from customer objective to software build, test event, and formal deliverable Drive Jira/GitLab execution and provide accurate inputs into integrated master schedules and program-level planning Understand and manage data availability, system architecture, integration dependencies, and technical constraints across high-side networks Identify technical blockers early, own their resolution, and immediately escalate critical risks when required Partner with subcontractors and external engineering teams where applicable, defining interfaces, deliverables, handoffs, and accountability Communicate technical progress, risks, tradeoffs, and decisions clearly to both engineering teams and senior customer stakeholders Must haves: Active TS/SCI clearance 5+ years of experience in technical program management, software engineering, systems e

pythonsqlai
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SA
Scale AI
📍 Washington• $166.4K – $249K/yr
Just now

Scale's Public Sector customer base is growing rapidly, and you will ensure that these customers become passionate, lifelong Scale partners. As a member of our Public Sector Delivery team, you are a catalyst, willing to go deep, get technical, and drive change. You are the ultimate hands-on leader, triaging customer issues and support, using data and analytics to align internal resources around Scale’s hardest problems, and driving the creation of tools that add direct value to Scale’s Public Sector customers. All of this serves an ultimate goal of delivering outsized value in supporting our Public Sector customer’s AI/ML objectives. Your natural inclination is to dive into both technology and organizational processes to craft effective solutions and gain efficiencies. You are biased towards finding not just one-off solutions, but repeatable and scalable ways to ensure we continually deliver on customer objectives. You have a track record of driving technical projects to completion, and stewarding lasting organizational change. And you are naturally empathetic, have high EQ, and excel at building long-term relationships through diligent problem solving, domain competence, and thoughtful, strategic discussions You will: Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers Leverage technical concepts, tools, and expertise to create solutions from scratch or drastically improve existing solutions Use data, analytics, and technical expertise to align internal resources and create tools that directly add value to customers in the public sector space Transition AI/ML technologies and processes into working Public Sector products / solutions even when requirements are undefined or ambiguous Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique gove

pythonsqlai
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SA
Scale AI
📍 Washington• $148.8K – $186K/yr
Just now

The Role: Scale AI is hiring a highly skilled foundational IT Systems Engineer for our Public Sector IT team to design, build, and operate secure, scalable infrastructure that empowers employees to do their best work. You’ll join a creative, fast-moving, solutions-oriented group that architects and implements automation across identity and access management, endpoint management, and our broader SaaS stack. Leveraging Okta Workflows, GCC High/Azure Gov, and your familiarity with federal frameworks (FedRAMP High, IL6, CMMC), you’ll deliver robust, audit-ready systems that meet stringent compliance requirements. The ideal candidate pairs deep IAM best practices and hands-on SaaS administration with a zero-trust mindset, clear documentation, and a genuine drive to make people happy—while protecting system integrity in a fast-paced, high-security environment. You will: Assist with the administration of our tech stack with platforms such as Okta, GCC High, Opal, Slack, Jamf, Jira, and many more Provide escalated assistance to the IT Services and Support team Partner with Security/Compliance on audit artifacts (SSP updates, POA&Ms, control mappings to NIST 800-53/171, CMMC 2.0). Create and update technology documentation for internal IT teams and Scale employees Design and maintain Zero-Trust controls (device posture, network segmentation, Conditional Access) across GCC High/Azure Gov and Okta. Build Okta Workflows and lightweight services (webhooks/queues) to automate joiner–mover–leaver events, access reviews, and deprovisioning. Own change management for IT systems in regulated environments (CAB records, rollback plans, validation evidence). Ideally you'd have: 5+ years of IT systems, infrastructure, and/or engineering experience Experience with integrating with SaaS APIs and SDKs Experience with leveraging Okta or similar identity management systems for authentication and provisioning methods such as SAML, OIDC, and SCIM Scripting experience with Python, Powe

pythonazureai
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SA
Scale AI
📍 Washington• $115.2K – $144K/yr
Just now

The Role We are seeking a highly organized, proactive, and collaborative Program Manager to join our Sales Enablement team, embedded in and dedicated to the Public Sector business unit. This role sits at the intersection of GTM strategy and learning design. You will own the end-to-end enablement experience for Public Sector sales reps, from the moment they join Scale to every stage of their ongoing development. The Public Sector GTM team operates as a distinct business with its own sales motion, compliance environment, and buyer context. This role requires someone who can move fluidly between that world and the broader Sales Enablement org; building infrastructure, translating content across BUs, and driving rep readiness in an environment where the stakes are high and the deals are complex. This role would also take ownership of Public Sector BU onboarding for any member joining the team. You will: Build and Own PS Onboarding Design and launch a structured, role-based onboarding program for Public Sector new hires across the Deployment Strategist and Solution Engineering tracks. Define "fully ramped" success criteria by role, and communicate them clearly to new hires and their managers. Utilize the Sales Enablement Platform to deploy learning paths and track completion and readiness metrics. Partner with the People team and BU leadership to take on BU onboarding for PS new hires after company-wide orientation, ensuring a seamless handoff and a cohesive experience end-to-end. Drive Ongoing Rep Development (Everboarding) Launch foundational sales skills training for the Public Sector team. This would include proposal writing, discovery methodology, deal qualification, and capture process. Develop and maintain playbooks by motion for Public Sector reps, and establish a recurring venue for platform capability updates to keep reps current on the roadmap. Own the GTM Knowledge Base Stand up and maintain the Public Sector GTM knowledge base, hosting s

aiprocurement
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SA
Scale AI
📍 New York• $179.4K – $224.3K/yr
Just now

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: Own large new areas within our product Work across backend, frontend, and interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: 4+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval

javascripttypescriptpython
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SA
Just now

At Scale, we build the AI systems behind some of the country's most important decisions. On the Public Sector Engineering team, you'll embed directly with U.S. government customers, including the Army, Air Force, Joint commands and Intelligence Community, to build and deploy AI applications that support their most critical missions. This is a hybrid customer-facing engineering role. You'll sit with the people whose problems you're solving, own delivery from first prototype to production, and ship software that customers adopt and rely on in the field. Model performance matters, timelines are urgent, and ambiguity is the norm. Your work directly shapes what Scale's platform can do for the public sector. What you'll do Embed with government customers to understand their mission, scope the problem, and turn it into working software. Own delivery end-to-end: design, build, deploy, and maintain solutions at customer sites, from prototype to stable production. Build robust backend systems and data integrations that connect customer environments to Scale's platform and back. Partner with product and engineering to feed field signals back into the roadmap, so the patterns you build once become capabilities the whole team can reuse. Serve as the technical point of contact for customer stakeholders, guiding adoption and maximizing mission impact. What we're looking for Required 5+ years of software engineering experience, ideally in customer-facing, forward-deployed, or government contexts. Strong production coding in Python and TypeScript (or comparable modern languages). Comfort across the stack, including cloud platforms (AWS, Azure, or GCP), containers, Linux, and networking fundamentals. Ability to operate independently in ambiguous, fast-moving environments and make sound trade-offs under pressure. An active TS/SCI clearance. Bonus Experience building or deploying systems powered by LLMs or generative models. Familiarity with Node and React, Kubernetes and Docker, and T

typescriptpythonreact
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