The Business Development Representative will prospect into enterprise manufacturing accounts, qualify leads, and book meetings with operations, engineering, and manufacturing leaders. The role requires strong communication, account-research skills, adaptability, and ideally 1–2+ years of relevant engineering, manufacturing, operations, or B2B sales experience.

Own and improve recruiting systems, workflows, data infrastructure, and automation at Rillet. The role suits a hands-on operator who can build practical tools, diagnose process issues, and drive adoption across the recruiting team.

Leads revenue data architecture and strategy for retention, expansion, pricing, forecasting, and executive decision-making. The role requires 8–10+ years in B2B SaaS operations or strategic analytics, expert SQL and BI skills, AI commercialization experience, and a bachelor's degree.

Own the data architecture, planning, and AI-enabled operating models that power a high-growth B2B SaaS sales organization. The role requires 8–10+ years in Sales Operations, GTM Strategy, or consulting, advanced Salesforce and SQL expertise, and strong commercial modeling skills.

Senior leadership role overseeing solutions consulting, with responsibility for building high-performance teams, driving accountability, and leading business and organizational initiatives. Candidates must reside in an eligible United States location.

Own the end-to-end Sales recruiting engine, beginning with Enterprise Account Executives and expanding across the revenue organization. The role requires 5+ years of full-cycle recruiting experience, strong outbound sourcing, sharp sales-talent calibration, and the ability to partner directly with sales leadership.

Owns the marketing technology stack, data flows, tracking, automation, and operational processes supporting B2B marketing. The role requires at least five years of experience with Pardot, Salesforce, GA4, ABM and data-enrichment platforms, plus strong analytical and problem-solving skills.

Build and operate AI-native tools, agents, integrations, and automations that improve go-to-market workflows across Sales, Marketing, Customer Success, and Revenue Operations. The role requires 3–5+ years of relevant engineering or operations experience, production AI experience, and strong scripting and systems-integration skills.

Build and operate AI-native tools, agents, integrations, and automations that improve go-to-market workflows across Sales, Marketing, Customer Success, and Revenue Operations. The role requires 3–5+ years of relevant engineering or systems experience, API scripting skills, and experience shipping production AI workflows.

Design FPGA-centric medical-device electronics spanning board schematics, Xilinx logic, embedded Linux drivers, and application interfaces. The role requires 4+ years of embedded experience, strong hardware/software integration skills, and familiarity with regulated development processes.

Leads sales planning and operations for a SaaS organization, covering quotas, forecasting, compensation, capacity planning, and go-to-market strategy. The role partners with senior sales leaders and cross-functional teams while managing and mentoring a sales operations team.

Supports global sales teams by managing deal workflows, resolving closing blockers, maintaining systems and documentation, and improving sales processes. The role requires a bachelor’s degree, at least two years of relevant experience, strong analytical skills, and Salesforce CPQ proficiency.

Provides executive-level technical leadership for enterprise customers across the US, advising on digital operations, resilience, automation, and cloud transformation. The role requires 15+ years of technical leadership or architecture experience, deep expertise across multiple operations domains, and the ability to influence C-level stakeholders and complex sales cycles.

Owns strategy and execution for AI-driven enterprise products, translating customer workflows and model capabilities into scalable features. The role partners across engineering, data science, GTM, and customer teams and requires B2B product experience, enterprise-platform expertise, and strong analytical judgment.

Leads technical strategy and shared architecture across multiple engineering squads, solving complex platform challenges and mentoring engineers. Requires 12+ years of software engineering experience, strong full-stack and distributed-systems expertise, and the ability to influence technical direction across teams.

Creates and edits multi-format B2B technology content that strengthens PagerDuty’s platform narrative, supports full-funnel campaigns, and engages enterprise technology buyers. The role requires 4+ years of relevant experience, strong writing skills, and a technology-brand portfolio.

Partners with leaders and managers on organizational effectiveness, employee relations, talent programs, and engagement while helping transform HRBP workflows through AI and people analytics. Requires a bachelor's degree, substantial HRBP or HR Generalist experience, and expertise supporting global teams.

Leads PagerDuty’s Chilean Customer Success organization and Santiago office, overseeing post-sales teams, site operations, compliance, culture, and cross-functional alignment. Requires 10+ years of progressive leadership experience, bilingual Spanish and English proficiency, Chilean market knowledge, and a bachelor’s degree.

Build and scale backend APIs, microservices, data pipelines, and enterprise integrations powering an AI automation platform. The role requires 3–5 years of backend experience, strong Python skills, and familiarity with databases, cloud infrastructure, security, and distributed systems.

Build and ship forecasting, promotion-effectiveness, and data-quality models using retail and CPG data. The role requires 3–5 years of data science experience, strong statistical foundations, and fluency in Python and SQL.

Provides Tier II/III support for enterprise environmental-obligation software, troubleshooting integrations, accounting workflows, reporting, and customer configurations. The role also contributes to QA testing and technical documentation and requires a bachelor’s degree or equivalent experience, strong Microsoft Office skills, and 0–4 years of support experience.

Design, build, and support customer integrations across ERP, banking, and API systems while translating accounting workflows into scalable technical solutions. The role requires hands-on API and iPaaS experience, customer communication, and at least three years of technical solution development.

This role solves complex technical customer problems by debugging APIs, databases, logs, code, and production systems while partnering with Product and Engineering. It requires strong Python and SQL skills, clear communication, customer empathy, and a builder mindset; hardware-development experience is a plus.

Build, troubleshoot, test, and maintain software packages across Windows and macOS for PDQ’s package library. The role requires at least two years of technical experience, strong problem-solving and QA skills, attention to detail, and the ability to work independently.

Research Scientist defining and executing research on reliable long-horizon agents in enterprise environments. The role focuses on post-training and reinforcement learning, agent memory, evaluation, verification, and structured representations, combining hands-on experimentation with product delivery and publication.

Build and scale post-training, reinforcement-learning, evaluation, and inference systems for long-horizon agents operating over complex enterprise software. The role requires strong Python and PyTorch or JAX skills, distributed GPU experience, empirical rigor, and the ability to take research results into production.

Own the full-cycle sales process for software serving small home service businesses, from prospecting and demonstrations through close. The role requires strong objection handling, solution-based selling, pipeline discipline, and the ability to generate both outbound and inbound opportunities.

Build and operate production AI agents that transform enterprise processes, data, and code. The role focuses on tool layers, retrieval, context management, evaluations, monitoring, auditability, and guardrails, requiring strong Python and TypeScript plus experience with production LLM systems and traditional machine learning.

Own and evolve a platform domain supporting reliable, secure, and cost-effective multi-tenant infrastructure. The role requires strong Kubernetes, cloud, Terraform, Helm, GitOps, Python, security, and agentic coding expertise, along with excellent technical judgment and communication.

Build and operate the Kubernetes-based platform infrastructure, developer tooling, CI/CD systems, and agent infrastructure used across the engineering organization. The role requires production cloud experience, strong infrastructure-as-code skills, Python proficiency, and sound engineering judgment.

Build and ship production AI/ML systems for real-time incident management, including LLM agents, retrieval pipelines, and inference services. The role suits an early-career software engineer with 2+ years of production experience and hands-on experience with modern AI.

Build and operate production AI systems, including LLM agents, retrieval pipelines, and event intelligence, across PagerDuty’s high-scale distributed platform. The role requires 5+ years of software engineering experience, production distributed-systems expertise, and hands-on experience shipping reliable LLM applications.

Supports enterprise sales by positioning Wavelytics’ AI-powered analytics solutions, addressing technical questions, and differentiating the product for prospects and customers. Requires at least three years supporting sales organizations with data analytics and AI offerings, plus strong communication and problem-solving skills.

Generates and qualifies outbound enterprise sales opportunities for PagerDuty, partnering with Account Executives and engaging prospects across multiple channels. The role requires 1–2 years of outbound prospecting experience, strong communication and organizational skills, and comfort with sales technologies.

The Back-End Infrastructure Engineer will build and operate Pigment’s production SaaS platform while improving cloud infrastructure and developer autonomy. The role requires production software engineering experience, Kubernetes, infrastructure-as-code, public cloud, and object-oriented programming expertise.

Own end-to-end delivery of complex AI implementation programs for UK enterprise clients, coordinating technical teams, executives, budgets, risks, and measurable outcomes. The role requires large-scale enterprise delivery experience, operational rigor, strong communication, AI fluency, and substantial UK travel.

Leads PagerDuty’s industry analyst relations program by shaping category narratives, building analyst relationships, coordinating briefings, and measuring program impact. Requires a bachelor’s degree and 8+ years in enterprise technology communications, marketing, or product marketing.

Provision and govern SaaS environments for customer implementations, including database setup, payments activation, messaging compliance, and service-request oversight. The role requires strong analytical judgment, workflow and CRM experience, operational governance skills, and effective cross-functional communication.

Own the execution of People Operations, including offers, onboarding, immigration coordination, employee records, and process improvement. The role requires 3–6 years of relevant experience, strong organization and communication, discretion, and comfort operating in a fast-paced startup.

Own network engineering and government cybersecurity compliance for on-site and field-deployed aerospace systems. The role requires 5+ years of experience, end-to-end IATT/ATO experience, strong networking skills, and familiarity with DoD security frameworks and tactical communications.

The QA Analyst will plan and execute testing for a complex, data-driven clinical research platform, validating requirements, APIs, integrations, legacy parity, and backward compatibility. The role requires 5+ years of enterprise QA experience, Agile collaboration, strong analytical skills, and the ability to obtain a Public Trust clearance.

Leads full-cycle enterprise sales, executive relationship development, and deal closure for Pigment’s business planning platform. Requires at least six years of quota-carrying technology or financial-services sales experience and a proven record of success.

Leads customer onboarding and deployment for an AI-native ERP, translating accounting workflows into practical solutions and coordinating data migration, integrations, training, and adoption. Requires 4–7 years in accounting, audit, advisory, or customer-facing work, strong finance knowledge, and excellent project and stakeholder management.

Leads operational delivery for complex enterprise AI engagements, aligning commercial, client, and engineering stakeholders while building scalable processes and performance frameworks. The role requires 5–8+ years of analytical and operational leadership experience, executive client presence, strong project management, and mentoring capability.

Drives enterprise client success by scoping solutions, optimizing operational processes, and coordinating delivery across clients, talent, product, engineering, and operations teams. Requires 5+ years of client-facing enterprise experience, strong project management, data analysis, and communication skills.

The Applied AI Data Analyst evaluates LLM-driven workflows and forecasting models, curates golden datasets, monitors performance, and performs root-cause analysis on complex financial and operational data. The role requires a graduate STEM degree, 2–4 years of quantitative or AI evaluation experience, Python, SQL, and enterprise data infrastructure expertise.

Owns new and expansion enterprise software business across the full sales cycle, from prospecting and demonstrations through negotiation and close. The role requires 7+ years of outbound sales experience, enterprise deal expertise, and comfort with complex procurement and acquisition processes.

The Solutions Consultant II partners with sales and customer teams to lead technical discovery, customized demonstrations, and end-to-end Proof of Value engagements for PagerDuty’s SaaS platform. The role requires 4–7 years of pre-sales or post-sales technical experience, scripting and operating-system skills, and cloud infrastructure knowledge.

Own the product marketing function for an AI infrastructure platform serving CPG brands, including positioning, launches, customer proof, competitive intelligence, and sales enablement. The role requires 7+ years of product marketing experience, strong writing and quantitative skills, and five days per week at the New York City headquarters.

Drives strategic growth across federal systems integrator accounts by expanding adoption of PagerDuty’s Operations Cloud and closing complex federal SaaS and cloud deals. Requires 8+ years in public sector or FSI sales, quota-carrying experience, executive relationships, Salesforce proficiency, and a bachelor’s degree or equivalent.