Top Tech Jobs & Startup Jobs

Develop and close business with enterprise clients, building executive relationships, resolving issues, and exceeding sales quotas using a consultative approach.

Design and build scalable services, APIs, platform capabilities, and product features. Own architecture and technical decisions, improve reliability and engineering practices through testing and operations, collaborate cross-functionally, mentor engineers, and help guide team direction.

Own go-to-market strategy and product-led growth initiatives for AI-powered SaaS products. Develop launch plans, positioning, messaging, customer acquisition strategies, sales enablement, and campaigns. Use customer insights and data to refine product and marketing strategy, influence roadmap decisions, and identify market opportunities. Collaborate cross-functionally with product, sales, demand generation, communications, content, lifecycle, channel, and partnership teams to drive awareness, adoption, and revenue growth.

Generate qualified sales opportunities through outbound prospecting via phone, email, and LinkedIn. Identify and enrich target accounts, engage inbound leads, communicate Agora’s value proposition, handle objections, qualify prospects, schedule sales meetings, and collaborate with the sales team. Participate in ongoing training and coaching while working in a fast-paced office environment.

Own Luxury Presence’s social media strategy across LinkedIn, Reddit, Instagram, YouTube, and TikTok. Build social-sourced pipeline, measure engagement and conversion performance, grow brand visibility, manage community health, guide CEO thought leadership, coordinate cross-functional campaigns, and make real-time brand and engagement decisions.

Own full-cycle recruiting for Client Success and Client Experience teams, including sourcing, outreach, screening, scheduling, candidate communication, pipeline management, and closing. Deliver qualified candidate slates, manage high-volume searches, maintain Lever records, report pipeline progress, and meet hiring and time-to-fill targets. The role is designed for someone with 0–2 years of recruiting, sourcing, coordination, or transferable high-volume client-facing experience.

Leads enterprise cybersecurity architecture across cloud, infrastructure, applications, identity, data, AI, networks, endpoints, and cyber defense. Defines security principles, reference architectures, standards, roadmaps, Zero Trust patterns, and technology strategies while governing high-risk architecture decisions. Partners with engineering, enterprise architecture, risk, privacy, legal, and business teams to implement scalable security capabilities, evaluate technologies, support modernization and M&A integration, and improve resilience. Requires extensive cybersecurity architecture experience, cloud expertise, and the ability to influence technical and executive stakeholders.

Leads enterprise cybersecurity architecture across cloud, infrastructure, applications, data, AI, identity, Zero Trust, and cyber defense. Defines security principles, reference architectures, standards, roadmaps, and target-state designs; governs major technology decisions; and partners with engineering teams to implement scalable security capabilities. Evaluates technologies, guides build-versus-buy decisions, supports modernization and M&A integration, and translates threats, regulatory obligations, and business strategy into practical architecture that reduces risk.

Leads enterprise cybersecurity architecture across cloud, infrastructure, applications, data, identity, AI, cyber defense, and third-party environments. Defines security principles, reference architectures, standards, roadmaps, Zero Trust patterns, and technology strategies while influencing major architecture decisions and engineering execution. Partners with enterprise architecture, engineering, risk, legal, and business teams to reduce cyber risk, modernize security capabilities, support M&A integrations, and ensure scalable, resilient, and economically practical implementations.

Provides architectural and technical leadership for institutional exchange systems, including matching engines, order management, market data, risk, and unified trading platforms. Leads ultra-low-latency distributed-system design, cross-team technical alignment, reliability standards, incident response, and multi-quarter initiatives. Maintains hands-on engineering contributions while mentoring senior engineers and developing technical leadership across teams.

Build and operate low-latency market data systems for institutional trading, including feed handlers, normalization pipelines, venue connectivity, and distribution services. Develop high-throughput services, improve reliability and performance through observability and incident response, participate in on-call support, and collaborate with engineering and product teams. The role requires production backend engineering experience, market data infrastructure expertise, Java or C++, messaging frameworks, and exchange connectivity protocols.

Owns and optimizes resilient, ultra-low-latency network and physical data-center infrastructure for institutional trading across cloud and on-premises environments. Designs routing, multicast, segmentation, firewall, VPN, telemetry, and automation systems. Leads production changes, incident response, failover testing, maintenance, and on-call support for 24/7 trading platforms. Mentors engineers and partners with SRE, product, and trading-system teams to improve reliability and developer velocity.

Owns customer relationships for government accounts, driving product adoption, renewals, expansion, and upsell opportunities. Leads Partner Engagement Managers, coordinates resources, communicates user needs to product teams, supports classified-network deployments, troubleshoots technical issues, and engages senior government and military stakeholders. The role is based in person in Washington, D.C., and requires a current Top Secret clearance with SCI eligibility.

Paid 10-week AI and data science internship supporting data analysis, dashboards, machine learning, generative AI, LLM, and AI application projects. Interns will work with technical and business stakeholders, research emerging technologies, develop prototypes, and present insights within the asset management industry. Undergraduate and master’s tracks offer exposure to business intelligence, cloud platforms, financial technology, and production-ready AI solutions.

Leads Scrum ceremonies, backlog refinement, sprint execution, impediment removal, dependency management, and continuous improvement. Oversees testing strategy, test planning, defect triage, UAT coordination, automation, shift-left quality practices, and release validation. Tracks delivery and quality metrics, communicates risks and readiness, and partners with Product Owners, engineers, testers, business stakeholders, and leadership to deliver predictable, high-quality technology modernization outcomes.

Leads enterprise technology delivery for the Service Experience Value Stream, developing multi-year roadmaps, coordinating technical workstreams, managing dependencies, and aligning business and technology outcomes. Partners with architects, engineers, product leaders, and stakeholders to modernize technology ecosystems, guide Agile delivery, manage resources and vendors, oversee budgets, and drive innovation across digital experiences. The role also develops talent, influences organizational change, and promotes customer-centric web and mobile experiences.

Own strategic enterprise deals within TMT, consistently achieve quotas, build C-level relationships, develop solution knowledge and competitive proposals, and coordinate internal teams to close large contracts.

Develop and deploy scalable machine learning models, statistical analysis services, and AI features. Build robust microservices and data pipelines for complex, multimodal data, while collaborating with product and engineering teams. Responsibilities include architectural discussions, design reviews, prototyping, model optimization, feature development, and evaluating emerging ML tools and techniques.

Leads Waystar’s engineering strategy, roadmap, architecture, and delivery for its core healthcare payments platform. Oversees engineering leaders and teams, product development, scalability, reliability, security, DevOps, budgets, resource allocation, and timelines. Partners with product, sales, and executive stakeholders to translate business needs into technical solutions, evaluates emerging technologies, and represents the company’s engineering vision externally.

Designs and implements logging and alerting across endpoints, infrastructure, networks, and cloud environments. Builds threat-hunting and incident-response automation, investigates security events, and leads incident response efforts. Develops threat intelligence on sophisticated adversaries and collaborates across teams. Requires strong Python or Go development, operating-system expertise, and proficiency across multiple cloud and platform environments.

Leads third-party advertising measurement strategy, partner governance, benchmarking, meta-analyses, and analytics innovation. Advises senior executives, influences cross-functional roadmaps, develops measurement playbooks, presents industry thought leadership, and builds measurement capabilities across Sales, Product, Marketing, and Partnerships. The role requires advanced statistical and causal inference expertise, hands-on SQL and visualization skills, and more than ten years of advanced analytics and measurement experience.