Top Tech Jobs & Startup Jobs

Support the firm’s compliance program for retail forex operations by monitoring CFTC and NFA requirements, advising business partners, maintaining registrations and licensing, supporting regulatory examinations, reviewing communications, delivering training, supervising AML/KYC due diligence, monitoring suspicious activity, preparing SAR filings, and overseeing customer complaint handling.

Process new brokerage account applications, verify identity and documentation, perform account maintenance, support AML/KYC due diligence, and provide customer support via chat, email, and phone. Document interactions in Salesforce, escalate suspicious activity, assist approvers, and contribute to process improvements while developing toward approver-level responsibilities.

Manage day-to-day website operations and drive organic growth via SEO and generative search optimization. Conduct keyword research, technical SEO audits, Core Web Vitals monitoring, schema/hreflang implementation, content optimization, backlink monitoring, and coordinate with developers and CRO stakeholders to improve search visibility and site performance.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Build foundational lakehouse infrastructure for exabyte-scale AI data environments. Responsibilities include metadata and transaction systems, table maintenance, schema and partition evolution, snapshot isolation, compaction, clustering, file-layout optimization, object-store performance, columnar-format optimization, and query performance across major lakehouse engines. The role also involves debugging distributed systems, implementing compression and data-efficiency algorithms, and contributing to open-source or research efforts.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

Leads Service Management Analysts in delivering client support and meeting response and resolution SLAs. Oversees service queues, workflow allocation, escalations, quality assurance, operational metrics, trend analysis, process improvements, and team development. Partners with Operations, Compliance, Billing, Product, Engineering, and Account Management to resolve issues, improve workflows, reduce client friction, and maintain consistent, compliant service experiences.

Own the roadmap for cloud infrastructure products spanning AWS, GCP, and Azure, including migrations, provisioning automation, cost optimization, and AI-driven improvements. Analyze cloud costs, evaluate build-versus-buy decisions, define requirements, manage delivery, coordinate dependencies, and partner with engineering, finance, vendors, and leadership. Lead technical discussions, track OKRs and success metrics, advocate for the team, and mentor junior members.

Lead consumer lending analytics and strategy across credit card, HELOC, and Auto/RV products. Evaluate portfolio performance, member behavior, pricing, targeting, risk, profitability, and growth opportunities. Develop strategic recommendations, forecasts, business cases, and analytical frameworks using SQL and large datasets. Partner with finance, credit risk, marketing, operations, and technology leaders while managing, coaching, and developing an analytics team.

Own end-to-end analytics for a business-critical function, including data models, pipelines, dashboards, and strategic insights. Partner with stakeholders and Engineering to establish scalable data foundations, guide experimentation and forecasting, and drive evidence-based decisions. The role also involves documenting analyses, shaping the data roadmap, and promoting a data-first culture across Operations, Engineering, Product, and Design.

Own the full sales cycle for commercial enterprise accounts with 250–4,999 employees, driving new-logo acquisition, expansion, upsells, and multi-product revenue across Go, Mail, and Coda. Build executive relationships, navigate complex procurement and legal processes, manage pipeline and forecasting in Salesforce, and collaborate with Sales Engineering, Product, Marketing, Customer Success, Legal, and Finance. Help establish the Commercial sales playbook for future enterprise account executives.

Own the roadmap for Superhuman’s core data model and shared platform services across multiple products. Define canonical entities, relationships, events, permissions, and semantics while partnering with engineering, data science, security, and product teams. Establish standards for data quality, governance, documentation, discoverability, reliability, and developer experience. Prioritize investments, define success metrics, enable high-impact use cases, and turn complex distributed data into trusted, scalable platform capabilities.

Drive Superhuman Mail’s mid-market expansion through value-based B2B SaaS sales. Responsibilities include managing complex, multi-stakeholder deal cycles, negotiating contracts, building executive relationships, developing outbound strategies and account plans, forecasting, maintaining pipeline rigor, and collaborating with Sales Development, Customer Success, Sales Engineering, and Product teams.

Coordinate daily 3PL distribution center operations, including order flow, shipping, receiving, inventory movement, issue resolution, and operational follow-up. Monitor SAP transactions, research errors, validate order status, support inventory accuracy, prepare daily reports, track exceptions, and communicate service risks. Partner with 3PL leadership and internal teams to resolve issues, document recurring problems, maintain standard work, and support continuous improvement.

Leads consumer and professional research supporting Design-to-Value initiatives and product innovation. Designs and executes qualitative, quantitative, advanced analytics, and AI-driven studies; integrates primary, secondary, competitive, and category data; and translates findings into actionable recommendations balancing customer value, product performance, quality, and cost. Partners with product management, engineering, design, marketing, Agile teams, and external research agencies to inform product decisions, testing, refinement, and measurable business outcomes.

Lead consumer and professional research supporting Design to Value (DTV) initiatives. Design and execute qualitative, quantitative, and advanced analytic studies (including AI-driven methods and discrete choice modeling), synthesize primary and secondary data, and translate findings into actionable product recommendations. Partner with product, engineering, design, and vendors to inform cost, quality, and performance optimizations and support new product innovation within Agile pods.

Lead pricing strategy and packaging across GitLab’s SaaS portfolio, including AI and usage-based products. Analyze market, competitor, customer, and usage data; build financial models; evaluate monetization opportunities; support product launches and SKU mapping; monitor post-launch results; and influence senior leaders across Product, Marketing, Finance, Sales, Deal Desk, and fulfillment.

Full lifecycle recruiter supporting AMER sales roles: sourcing passive and active candidates, partnering with hiring teams, using ATS and sourcing tools, leveraging market data and metrics to improve pipelines and candidate experience during a six-month contract.

Support and maintain a 10+ tool revenue tech stack, troubleshoot and provision users, coordinate vendors, identify and implement integrations and automations, build reporting and documentation, and partner cross-functionally to improve GTM processes and adoption.

Provides client delivery and internal operational support for Decision Support solutions, including configuration, auditing, reporting, cost model recommendations, and client presentations. Partners with healthcare finance teams to improve tool adoption, cost accuracy, and model efficiency while managing budgets and timelines. Maintains business relationships with sales and client experience teams, manages multiple projects, and mentors junior staff in cost accounting, healthcare finance, and client support.

Administer and optimize Strata Decision Support solutions for healthcare customers. Responsibilities include data reconciliation, cost model configuration and auditing, reporting, system maintenance, enhancements, customer adoption, and answering cost accounting questions. The consultant partners with customer finance teams, implements efficiency improvements, supports multiple projects, and serves as a subject matter expert while advocating for Strata products.

Manage and grow sales across designated government and primarily military accounts, including Air Force bases in the Raleigh area. Build account strategies, conduct business reviews, identify customer needs, manage inventory support, develop new opportunities, forecast sales, and explain Grainger’s value proposition. Maintain customer relationships, address objections, comply with pricing guidelines, and use market and financial insights to increase profitable revenue.

Manage and grow sales within designated healthcare accounts by developing account strategies, conducting business reviews, identifying customer needs, and delivering Grainger solutions. The role supports managed inventory activities, builds customer relationships, analyzes market and customer data, manages sales pipelines, addresses objections, and ensures compliance with sales and pricing guidelines. The position requires field engagement with customers four to five days per week, primarily in St. Louis.

Manages approximately 85 existing business customers within an assigned territory, building relationships, identifying opportunities, presenting MRO products and services, growing sales, negotiating deals, maintaining a pipeline, and documenting activities in a CRM. The role is primarily field-based with frequent customer-site visits and occasional overnight travel.