Top Tech Jobs & Startup Jobs

Manage strategic enterprise SaaS accounts, guiding implementation, adoption, value realization, renewals, and expansion. Build relationships with business and IT executives, create customized success plans, monitor customer health, mitigate risks, and deliver business reviews. Partner with Sales, Professional Services, and Solution Integrators to ensure successful deployments and achieve retention and growth targets.

Own the full-cycle sales process, closing inbound deals and generating outbound pipeline across SMB, mid-market, and enterprise segments. Develop the company’s initial sales motion, including ICP definition, messaging, pricing conversations, CRM processes, and repeatable playbooks. The role requires cold outreach, flexible sales execution across deal sizes, and daily in-person collaboration with the founding team in New York City.

The Major Account Executive will prospect, qualify, develop, and close new B2B SaaS opportunities within an automotive-focused territory. Responsibilities include managing the full sales cycle, building pipeline, meeting sales quotas, delivering product demonstrations, negotiating contracts and pricing, and representing Hireology at trade shows and conferences. The role requires strong communication, motivation, and metrics-driven performance.

Sources and qualifies inbound and outbound sales opportunities, runs email, phone, and LinkedIn campaigns, researches stakeholders, handles objections, and schedules qualified appointments. Owns a named territory, maintains accurate Salesforce data, and collaborates with Marketing and Sales to improve messaging and conversion. The role includes coaching, enterprise sales training, and a path toward Account Executive after sustained performance.

Drive new client acquisition and revenue through high-volume lead outreach, sales strategy, CRM pipeline management, client pitches, stakeholder engagement, pricing analysis, and cross-functional collaboration to meet sales targets.

Software Engineering interns contribute to production features, applications, APIs, services, data ingestion pipelines, and machine-learning-enabled products. They participate in code reviews, deployment, observability, infrastructure as code, and production-readiness practices while collaborating with experienced engineers. Interns work in person from the Cambridge headquarters or New York City office and receive opportunities for technical learning, exploration, and cross-team development.

Talent Partner responsible for full-cycle recruiting across technical, commercial, and operational roles, while building scalable HR programs for onboarding, performance management, and employee experience. The role partners with hiring managers and leadership on sourcing, interview design, offers, headcount planning, workforce forecasting, employer brand, and broader People initiatives. Candidates should have 4–7 years of HR, recruiting, or people operations experience, ideally in a scaling technology or hardware company.

Lead a small engineering team while remaining hands-on, guiding software development from design through delivery. Build new products and scale existing systems, establish technical excellence, collaborate with platform engineers and domain experts, and work directly with customers and end users to deliver decision-making platforms for defense and airspace safety.

Own end-to-end network reliability across data centers, AWS, and GCP, including routing, switching, DNS, load balancing, service mesh, VPNs, circuits, and cross-connects. Automate network configuration with Ansible, Terraform, GitOps, CI validation, and IPAM. Engineer failover, observability, security hardening, client connectivity, and Kubernetes ingress while participating in an interrupt-contained on-call rotation.

Administer and enhance Edmunds’ Databricks data platform and AWS infrastructure. Build and maintain ETL pipelines, infrastructure-as-code tooling using Terraform or CDK, and operational dashboards, alerts, and reports. Collaborate with business, engineering, analytics, security, and infrastructure teams to support data platform users and AI solutions. Evaluate new technologies, troubleshoot platform issues, and improve operational, cost, and security visibility.