Top Tech Jobs & Startup Jobs in Seattle, WA

Drives revenue by developing law firm and corporate relationships, generating new business, building sales pipelines, conducting outbound prospecting, and serving as a trusted eDiscovery advisor. Responsibilities include monitoring industry and regulatory trends, representing the company at trade shows, achieving quota, and collaborating with product, marketing, solution engineering, and customer success teams.

Create and execute B2B content across campaigns, websites, email, social media, events, and sales collateral. Manage day-to-day social content, adapt messaging across channels, collaborate with marketing teams and subject matter experts, and use generative AI for ideation and drafting. Ensure accuracy, brand consistency, and editorial quality while monitoring content performance, reporting KPIs, and recommending optimization opportunities.

Own end-to-end product marketing for a significant product portfolio, including go-to-market strategy, positioning, messaging, launches, sales enablement, competitive intelligence, and product advocacy. Translate complex eDiscovery and AI-driven capabilities into compelling customer value, drive adoption and pipeline growth, support strategic deals, and align Product, Sales, and Marketing leadership.

Designs, executes, and measures integrated B2B marketing campaigns and events across digital, content, ABM, webinars, trade shows, and field programs. Partners with Sales and cross-functional marketing teams to drive pipeline, adoption, and expansion. Owns campaign strategy, event activation, agency and resource coordination, attribution, ROI reporting, and continuous optimization. This individual contributor role requires independent program ownership and may grow into team leadership.

Serve as strategic commercial and technology legal advisor, drafting and negotiating software, SaaS, licensing, data, customer, and vendor agreements. Advise on AI products, governance, responsible AI, privacy, intellectual property, regulatory compliance, product launches, and legal risk mitigation. Partner with Sales, Product, Engineering, and executive teams while supporting international and broader legal initiatives. Use legal technology and AI tools to improve legal service delivery.

Develop and optimize SQL Server and SSIS billing pipelines, automate data movement and validation with Python, and use R and Python for analytics, anomaly detection, and billing decision models. Build data-quality frameworks, support internal reporting tools, integrate ERP APIs, and collaborate with finance and operations stakeholders. The role requires maintainable, tested, auditable solutions and ownership of features across databases, pipelines, analytics, and internal applications.

Owns deal desk governance, complex pricing approvals, discounting controls, and margin protection across services, SaaS, and hybrid offerings. Runs the cross-functional Pricing Council, translates decisions into pricing policies and approval workflows, and ensures accurate CPQ and segment/SKU data. Builds AI-assisted pricing models, scenario analyses, simulations, automated review workflows, and KPI reporting. Partners with Sales, Delivery, FP&A, Revenue Operations, and executives to identify cost exposure, reduce margin leakage, and improve deal velocity and reporting integrity.

Client-facing technical sales professional who supports enterprise and strategic sales cycles through product demonstrations, proofs of concept, technical Q&A, and solution positioning. The role enables sales teams, represents products at client meetings and industry events, translates technical capabilities into business value, communicates roadmap updates, and feeds market feedback to Product and Marketing. Experience with legal technology, technical sales, AI tools, CRM platforms, and client presentations is required.

Review and code documents for complex litigation using e-discovery platforms (Relativity, Nebula). Identify privilege, confidentiality, and responsiveness; perform QC, assist with privilege/redaction logs, follow project instructions, meet pace and accuracy targets, and maintain secure remote work and reliable timekeeping.

Lead and build KLDiscovery's gen-AI architecture and core systems. Design and implement LLMs, agents, RAG, vector search, embeddings, model selection, MLOps, telemetry, and evaluation harnesses. Ship high-impact prototypes and production components, mentor senior engineers, and represent AI strategy to product, customers, and partners.