Top Tech Jobs & Startup Jobs in New York City, NY

Provides production support for CRM, workflow, and AI-enabled business platforms. Responsibilities include issue triage, troubleshooting, root-cause analysis, user onboarding, access and configuration administration, release readiness, user acceptance testing, documentation, training, and coordination across business and technology teams. The role also identifies recurring issues and process improvements that enhance platform stability, adoption, and user experience.

Participate in a 10-week actuarial internship involving pricing, product development, reserve calculations, actuarial modeling, financial analysis, asset liability management, and investments. Collaborate with experienced actuaries, present project results, attend educational sessions, and engage in professional development. Interns use Excel and may apply programming languages, data analysis tools, and AI technologies to support business decision-making.

Supports product planning, prioritization, testing, and delivery for CRM, Service360, workflow automation, and AI initiatives. Partners with business and technology teams to gather requirements, create user stories, manage backlogs, coordinate pilots and releases, support training, and track adoption. Analyzes customer journeys, associate feedback, and service processes to identify automation and experience improvements. Applies AI tools to improve productivity, servicing workflows, and customer and broker outcomes.

Future Business Development Representative opportunities at Mirakl involve researching enterprise prospects, identifying decision-makers, crafting targeted outreach, and partnering with Enterprise Account Executives on prospecting strategies. Representatives share outbound best practices, use AI to improve efficiency and commercial insight, and develop foundations for advancement into sales or other departments. Candidates should have strong communication and presentation skills, a growth mindset, and willingness to work onsite four days weekly in Boston. This is a talent-pool posting, not an active opening.

Design and enhance user experiences for software products and solutions. Conduct user research, create personas and journey maps, develop interactive prototypes and interfaces, and apply human-centered design to improve usability and accessibility. Collaborate with cross-functional teams and clients to develop innovative design strategies, interpret data, address complex challenges, and incorporate emerging technologies into product solutions.

Leads teams designing and deploying AI-driven enterprise and cloud security solutions. Responsibilities include developing machine learning systems, integrating data infrastructure and pipelines, performing advanced modeling and analysis, and building AI applications with Python, Java, and C++. The role involves client engagement, strategic problem-solving, stakeholder validation, coaching, process innovation, and operational excellence while addressing complex cybersecurity and privacy challenges.

Leads visual and product experience design for innovative software products and services. Guides teams in applying human-centered design, UX research, and UI prototyping to improve user and customer experiences. Manages project planning, budgets, execution, timelines, quality, and client deliverables. Analyzes industry trends, resolves stakeholder conflicts, mentors designers, manages performance, and promotes the integration of creative design and research into project delivery.

Supports advertising technology integration strategy and delivery from discovery through launch. Responsibilities include gathering requirements, mapping interfaces and data flows, coordinating technical stakeholders, tracking risks and dependencies, creating test plans and documentation, troubleshooting integration issues, validating launches, and supporting operational handoffs. The role also applies approved AI tools to accelerate analysis, documentation, testing, issue triage, and repeatable workflow automation with appropriate human review.

Own the full sales cycle for SMB merchants, converting inbound leads and generating outbound opportunities. Qualify, demo, and close deals; understand customer needs; deliver consultative solutions; maintain accurate Salesforce pipeline forecasts; collaborate with onboarding, product, marketing, and support teams; and consistently achieve or exceed revenue quotas in a high-volume environment.

Supports SAP and SolEx sales teams by positioning BlackLine’s finance automation platform, conducting needs analyses, delivering tailored demonstrations, completing ROI analyses, responding to RFPs and RFIs, addressing technical and accounting questions, and supporting partner and client engagements. Builds trusted relationships, helps advance opportunities and license revenue, documents sales activities in Salesforce, and facilitates handoff to implementation teams.

Leads and develops a team of Solution Advisors supporting sales cycles for BlackLine’s financial close and accounting automation products. Conducts client discovery, delivers tailored demonstrations, presentations, workshops, and proof-of-concepts, and provides technical guidance throughout sales engagements. Partners with sales and professional services on account planning, onboarding, and adoption while contributing to enablement programs and representing BlackLine at industry events.

Chief of Staff to the CEO responsible for driving six-week planning cycles, operating reviews, cross-functional triage, strategic diligence, board materials, investor updates, and company performance reporting. The role identifies and owns unassigned high-impact problems, accelerates decision-making, improves communication and information flows, and develops AI-enabled workflows. This is an in-person role based in New York City.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.

Own the strategy, roadmap, scientific integrity, and commercial trajectory of Attain’s permissioned data products. Lead data product managers and execution teams responsible for feeds, pipelines, QA, and vendors. Partner with data science to productize marketing science, causal measurement, predictive models, and population projections into licensed feeds and scores. Drive revenue, adoption, methodology quality, privacy compliance, internal customer satisfaction, and executive communication.

Owns Attain’s data science methodology, including causal inference, attribution, incrementality, media mix modeling, audience targeting, and modeled-data validation. Defines defensible measurement standards, partners with Product, Engineering, ML, and commercial teams, presents methodology to clients and partners, manages external consultants, and leads a team of data scientists. The role requires deep AdTech/MarTech experience, strong statistical and ML expertise, executive communication skills, and experience with large-scale consumer data.

Design and implement distributed, exabyte-scale storage systems for AI workloads, including S3-compatible object storage and dedicated storage clusters. Improve storage reliability, durability, security, observability, throughput, latency, and resilience using technologies such as RDMA, GPU Direct Storage, and distributed filesystems. Monitor and troubleshoot production systems, develop performance dashboards, analyze telemetry, collaborate across infrastructure teams, and mentor engineers.

Design, build, and operate secure sandboxed runtime environments for Kubernetes and GPU-accelerated workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, container runtime, virtualization, and GPU driver architecture. Collaborate with security, platform, and infrastructure teams to establish runtime isolation and performance standards for multi-tenant systems.

Own the roadmap and execution for W&B Models, an experiment-tracking platform for AI researchers. Improve experiment organization, training visualization, monitoring, evaluations, and large-scale analysis across web and mobile. Conduct user research, translate ML workflows into product decisions, collaborate with engineering and design, and use data and feedback to launch polished, high-performing experiences. The role requires deep familiarity with ML research, technical product management, data visualization, AI tools, and developer or researcher audiences.