Lattice

πŸ‘₯ 501-1000πŸ’° $175,000,000 Series F about 3 years agoπŸ«‚ Last layoff 3 months agoProductivity ToolsManagement Information SystemsHuman ResourcesEnterprise ApplicationsSoftwareπŸ’Ό Private Company
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Lattice builds the People Success Platform, a unified solution combining performance management, goal-setting, employee engagement, compensation management, career development, and people analytics. We empower businesses to cultivate thriving cultures where employees excel and contribute to impactful business outcomes. Lattice serves nearly 5,000 customers globally, including industry leaders like Slack, Asana, and Robinhood, demonstrating our market impact and the value we deliver. Our Engineering team uses a modern tech stack, including TypeScript, React, Relay Modern, GraphQL, Node.js, PostgreSQL, and AWS, and embraces a collaborative, iterative approach. We prioritize maintainable, robust, and performant code, working closely with designers and product managers to ensure an exceptional user experience. Our engineering practices are continuously evolving, with a focus on improving team output and reducing user pain points. Lattice is committed to building a diverse and inclusive workplace where everyone thrives. We're a fast-growing company, recognized as a Great Place to Work by 99% of our employees and featured on the Inc. 500 Fastest-Growing Private Companies list for two consecutive years. We offer competitive compensation, a comprehensive benefits package, and remote work opportunities, reflecting our commitment to employee well-being. With significant funding and a global customer base, Lattice presents an exciting opportunity to join a successful, people-centric organization shaping the future of workplace success. We're on a mission to build cultures where both employees and their companies flourish.

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πŸ“ United States

🧭 Temporary

πŸ” Human Resources

  • Bachelor's degree in Statistics, Data Science, Business Analytics, or related field
  • 2+ years of experience in data analysis or people analytics
  • Strong experience merging and manipulating data
  • Experience creating data visualizations and reports
  • High attention to detail and accuracy
  • Experience with confidential HR systems
  • Deliver quarterly operations review reporting
  • Execute analysis of performance review cycles
  • Conduct analysis of promotion cycle outcomes
  • Support compensation cycle prep and reporting
  • Prepare monthly people analytics reports
  • Merge, manipulate, and analyze data for insights
  • Support ad hoc HR data requests

SQLBusiness IntelligenceData AnalysisData visualization

Posted 11 days ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 214000.0 - 267500.0 USD per year

πŸ” Software Development

  • 7+ years of progressive experience in Product Design
  • 4+ years experience managing Designers
  • Very high craft bar, with a portfolio to prove it
  • Experience going deep on multiple complex product areas at once
  • The ability to give design feedback even when you do not have deep product knowledge
  • Help scale the Product Design team, its culture, and its operations
  • Support, coach, and help grow the team’s members
  • Partner with Research, Engineering, and Customer Experience to establish a multi-year vision and strategy
  • Set new levels of excellence for craft and execution
  • Partner with leadership across the organization to ensure platform development

LeadershipPeople ManagementProduct ManagementUI DesignUser Experience DesignHR ManagementProduct OperationsCross-functional Team LeadershipStrategyProduct designCommunication SkillsAnalytical SkillsCollaborationMentoringCoachingRelationship buildingStakeholder managementStrategic thinkingPrototypingSaaS

Posted 24 days ago
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πŸ”₯ Engineering Manager, AI
Posted about 1 month ago

πŸ“ US

🧭 Full-Time

πŸ’Έ 187500.0 - 234500.0 USD per year

πŸ” People success platform

  • 8+ years of professional experience in software engineering.
  • At least 3 years of experience managing engineering teams.
  • Proven ability to mentor and develop high-performing teams.
  • Strong alignment of technical work with organizational goals.
  • Exceptional communication skills with various stakeholders.
  • Hands-on experience in designing scalable AI/ML solutions, particularly LLMs.
  • Proficiency in Python and AI/ML frameworks like TensorFlow and Transformers.
  • Knowledge of cloud platforms, preferably AWS.
  • Familiarity with AIOps tools, including Docker, Kubernetes, and Terraform.
  • Lead a team of 5-10 engineers to build impactful AI solutions.
  • Translate company strategy into actionable team goals.
  • Manage, coach, and inspire engineers, fostering collaboration and growth.
  • Drive architecture decisions by staying updated with AI trends.
  • Lead design and development of AI solutions focused on LLMs.
  • Provide hands-on technical guidance and drive AI/ML project delivery.
  • Promote continuous improvement in engineering processes.
  • Build an inclusive team environment encouraging diverse perspectives.

AWSDockerPythonKubernetesMachine LearningMLFlowTensorflowTerraform

Posted about 1 month ago
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πŸ“ US

πŸ’Έ 195000.0 - 244000.0 USD per year

πŸ” People success platform

  • Strong software development experience with Typescript, Python, or Ruby.
  • Proven track record of securing production applications.
  • Experience with securing modern APIs and automating vulnerability detection.
  • Deep understanding of secure coding practices and experience in web application design.
  • Ability to identify and remediate security vulnerabilities.
  • Familiarity with security tools for static analysis and vulnerability detection.
  • Strong communication and collaboration skills.
  • Collaborate with product teams to ensure applications are secure by design.
  • Define and promote secure coding practices for web technologies like REST and GraphQL APIs.
  • Conduct threat modeling and targeted code reviews.
  • Advise on building security-focused libraries to prevent vulnerabilities.
  • Mentor product teams on secure development practices and security-by-design principles.
  • Drive adoption of secure software development lifecycle processes.

GraphQLTypeScriptNest.jsNext.js

Posted 2 months ago
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