Top Tech Jobs & Startup Jobs

Leads product vision, strategy, and roadmap for Total Rewards within Salesforce Employee Success. Designs AI-native and agentic employee experiences, drives transformational implementations, partners with engineering, design, data science, HR policy, and enterprise stakeholders, and influences outcomes through thought leadership and informal mentorship. The role requires deep Total Rewards expertise, product management experience, AI/ML fluency, strong stakeholder management, and the ability to operate effectively in ambiguous, matrixed environments.

Design and deliver scalable, cloud-native Automation and MuleSoft services. Translate product requirements into engineering plans, build and tune robust APIs in multi-tenant environments, collaborate across teams, and apply distributed systems and Agile practices.

Leads Salesforce solution architecture for customer and partner engagements, translating business and technical requirements into scalable implementations. Guides enterprise integration, application configuration, solution evaluation, project direction, and implementation methodology. Coordinates architects and delivery teams, mentors technical and nontechnical stakeholders, manages executive relationships, supports planning and presales, and contributes to internal initiatives. Requires hands-on technical consulting, software implementation, object-oriented coding, business process optimization, integration expertise, communication skills, and regional travel availability.

Leads Tableau’s market and ecosystem strategy by scaling competitive intelligence, conducting TAM/SAM and whitespace analysis, tracking industry trends, and translating market insights into product, marketing, sales, and go-to-market priorities. Builds centralized research systems, informs executive decision-making, and identifies growth opportunities across analytics, business intelligence, AI, enterprise data management, and cloud ecosystems.

Partner with Slack customers to drive adoption and business value through 1:1 guidance, workshops, stakeholder collaboration, data-driven insights, and best-practice enablement to improve customer health and create advocates.

Presents Salesforce products and architectures to prospects and customers, identifies business requirements, develops technical sales strategies, configures and demonstrates customized solutions, addresses technical objections, and communicates product value. The role requires collaboration across varied technical environments, ongoing product training and certifications, achievement of sales objectives, and travel aligned with territory and region.

Own end-to-end partner marketing for Salesforce SI ecosystem: translate positioning into integrated campaigns, produce landing pages, emails, event and social content, run Partnerforce channels, and use AI tools to scale and optimize content and community engagement.

Architect, design, implement, test, and deliver highly scalable software products. Improve engineering processes and codebases, mentor developers, present and review designs, build automated testing frameworks, increase test coverage, and participate in on-call rotations to maintain highly available services. The role supports Salesforce Revenue Cloud transaction management and requires extensive software development experience, object-oriented programming expertise, web technologies, database knowledge, and automated testing experience.

Designs and maintains scalable batch and real-time data pipelines, reusable data models, and foundational datasets for Slack’s enterprise customers. The role optimizes schemas, SQL, ETL workflows, and data warehouse environments while establishing governance, documentation, SLAs, and engineering best practices. It partners with product, analytics, business, and engineering teams and contributes to GovSlack initiatives supporting regulated organizations.

Build and scale infrastructure management and automation solutions that detect, prioritize, and remediate vulnerabilities. Integrate security tooling, apply AI/ML for anomaly detection and predictive security, and collaborate with engineering, security, and operations teams to deliver resilient, automated vulnerability management at cloud scale.