This client-facing role is for an experienced, highly consultative design researcher & strategist, who has a generalist mindset, has incorporated strategic insight into their practice, and uses AI-assisted tools to accelerate learning, reduce time to market, and guide clients from insight to action.
Compensation
Full-time annual salary between $145,000 and $165,000 based on experience and qualifications
Annual bonus target based on overall company performance of between $6,000 and $12,000
Responsibilities
Lead the creation of product, service, and ecosystem strategies that connect human insight, business priorities, and technological opportunity into clear, actionable directions.
Design and lead original research for unique contexts, drawing on a mastery of a range of design research methods.
Use AI-enabled research & synthesis methods to accelerate planning, fieldwork, analysis, and learning.
Lead cross-functional teams through complex work with clarity, credibility, and discipline.
Contribute to the growth of Highland’s research and strategy practice by strengthening people, points of view, and market presence.
Requirements
Masters degree or equivalent experience in design research, strategy, or related field
Lead planning, coordination, and delivery of client projects across various domains such as events testing, technical and non‑technical project management.
Responsibilities
Lead the planning, execution, monitoring, and closure of client projects
Partner with clients and internal stakeholders to define project requirements, objectives, deliverables, and success criteria
Develop and maintain project plans, schedules, and resource allocations
Coordinate cross‑functional teams to ensure projects are delivered successfully and on time
Monitor project progress and provide regular status updates to stakeholders
Requirements
Nice to have: PMP
Nice to have: PRINCE2
Nice to have: Agile
Nice to have: certifications in project management
Design, develop, and support Talogy's database solutions while collaborating with engineering teams to deliver reliable, scalable, and secure data-driven applications.
Responsibilities
Design, build, and maintain database solutions that meet business and product requirements.
Collaborate with stakeholders to understand business needs and translate them into effective technical solutions.
Develop and support APIs and database integrations that enable product functionality and data access.
Monitor database environments proactively, identifying and resolving potential issues before they impact users.
Implement best practices for database design, performance optimization, security, and administration.
Requirements
A degree in Computer Science, Information Technology, Software Engineering, or a related field
Lead technical risk assessments, remediation, and governance for Cisco’s security risk program.
Responsibilities
Independently lead complex, ambiguous, or cross-functional technical risk assessments with minimal oversight
Serve as a trusted advisor to senior technical leaders and executives on risk posture, prioritization, and tradeoffs
Develop and deliver executive-level risk reporting, metrics, and trend analysis
Own escalation and negotiation on high-risk exception requests and complex remediation disputes
Monitor the risk portfolio at program level, identify systemic gaps or patterns across the register, and drive process, tooling, or automation improvements
Requirements
Bachelor's degree or equivalent work experience
Nice to have: Splunk products, SPL, and building dashboards and reports
Nice to have: Python or SQL for risk metrics and program-level automation
Nice to have: Mentoring analysts or informally leading a workstream or team
Nice to have: Preparing materials for, or presenting in, board-level or executive governance forums
This role involves creating local market playbooks, coordinating critical readiness programs, and ensuring staff proficiency in autonomous driving safety operations.
Responsibilities
Author and publish local market playbooks that cover both general operations and safety-specific protocols.
Provide coordinated support for critical readiness programs, including Line-checks, Operational Readiness Verifications, Retrospectives, and Business Continuity Planning (BCP).
Ensure staff are not just trained, but truly proficient through rigorous practice, drills, and continuous feedback loops.
Coordinate with local partners and vendors on joint safety issues.
Ensure all operational risks are deeply understood with active, validated mitigation plans in place.
Requirements
Bachelor’s degree
Nice to have: Experience designing process in highly regulated spaces
Nice to have: road safety, design, or transportation planning
Nice to have: Passenger Transportation Operations Manager certified
Nice to have: Aviation Operations Manager certified
Lead technical direction and performance engineering for AI frameworks and models, driving architecture, benchmarking, and tooling across teams.
Locations (3)
United States
San Francisco Bay area, United States
New York City, United States
Compensation
Software Engineering IC6 - The typical base pay range for this role across the U.S. is USD $165,600 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.
Responsibilities
Own the technical vision, architecture, roadmap, and multi-release execution strategy for critical AI framework, performance, benchmarking, or developer-productivity capabilities.
Lead technical alignment across teams by shaping architecture and priorities, resolving competing requirements, and holding researchers, product groups, infrastructure owners, and hardware partners accountable to clear decisions, execution plans, and measurable outcomes.
Build technical leadership capacity across the organization by mentoring engineers, developing emerging technical leads, establishing high standards for quality and maintainability, and creating an inclusive engineering culture in which teams can execute effectively at scale.
Steer ambiguous, cross-stack investigations and investments spanning models, frameworks, compilers, runtimes, systems, services, and silicon; set technical priorities, resolve trade-offs, and drive teams to decisions.
Provide hands-on technical leadership by setting the engineering approach, delegating and unblocking critical work, and directly contributing through prototypes, critical-path implementation, design and code reviews, complex debugging, and operational readiness.
Requirements
Bachelor’s Degree in Computer Science
Nice to have: Master's Degree in Computer Science
Nice to have: 12+ years technical engineering experience
Nice to have: 15+ years technical engineering experience
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