Staff Engineer

Position Title: Staff Engineer, Brand

Location: Remote from the U.S.  #LI-Remote #LI-CW1 

About the role

LTK is seeking a Staff Engineer to strengthen the technical leadership of the Brand team. Staff Engineers on the team lead the architecture, technical direction, and execution of strategic, complex, and business-critical initiatives. You will partner with product, design, data, and platform teams to solve high-impact problems and ensure the platform can reliably support evolving business needs.

As a senior technical leader, you will bring clarity to ambiguous initiatives; establish durable patterns across teams; and maintain the overall health of the Brand platform. This role expands technical-leadership coverage across Brand while helping LTK deliver reliable, scalable experiences that support our Brands and Creators.

How you will make an impact

• Provide technical leadership across the Brand platform, leading strategic, complex, and business-critical initiatives wherever they arise.
• Define and evolve architecture for complex, cross-team product and platform initiatives.
• Lead the technical strategy, decomposition, and execution of critical projects from discovery through delivery.
• Partner with product, design, data, and platform teams to align technical decisions with customer, platform-health, and business outcomes.
• Establish scalable patterns, APIs, and system boundaries that enable teams to move quickly while improving reliability and maintainability.
• Identify and reduce technical risks, dependencies, and sources of operational complexity before they become delivery constraints.
• Raise the engineering bar through design reviews, code reviews, technical coaching, and mentorship of engineers and emerging technical leaders.
• Maintain overall platform health by strengthening observability, quality practices, operational readiness, and cross-team execution.
• Translate ambiguous business needs into clear technical direction, practical milestones, and durable solutions.
• Lead the adoption of AI-native engineering practices across the Brand platform, using coding agents and AI-assisted tools to accelerate investigation, technical design, implementation, testing, code review, documentation, and operational response.
• Create the conditions for high-quality agent-assisted delivery by improving repository context, technical specifications, development environments, CI pipelines, test strategies, and feedback loops.
• Direct multiple streams of agent-assisted work where appropriate, decomposing complex initiatives into well-scoped tasks, reviewing outputs critically, and remaining accountable for everything that reaches production.
• Establish practical evaluation and validation mechanisms for AI-assisted workflows, including automated checks, targeted human review, security controls, observability, and production feedback.
• Identify opportunities to use AI and automation to reduce engineering toil, improve developer experience, increase test coverage, and shorten the path from an ambiguous problem to a reliable customer outcome.
• Share what works through architecture guidance, reusable patterns, documentation, mentoring, and hands-on coaching so AI-native practices scale beyond individual power users.

What you will bring to LTK

• 8+ years of software engineering experience, including significant experience leading the architecture and delivery of complex, distributed systems.
• Demonstrated success operating as a Staff Engineer, Principal Engineer, or equivalent senior technical leader across multiple teams or domains.
• Strong systems-design skills, including the ability to make pragmatic architectural tradeoffs across performance, reliability, security, scalability, and developer experience.
• Experience leading high-impact initiatives that require coordination across engineering, product, design, data, and platform partners.
• A track record of turning ambiguous product and business problems into clear technical strategies and executable plans.
• Strong communication skills, with the ability to influence technical and non-technical stakeholders without direct authority.
• A coaching mindset and demonstrated ability to mentor engineers and grow technical leadership across teams.
• Commitment to engineering excellence, including quality, operational ownership, observability, and continuous improvement.
• Demonstrated experience using AI-assisted development tools or coding agents as part of a real engineering workflow, with the judgment to know when to trust, constrain, test, or reject their output.
• Experience shaping software-development processes that help engineers and AI agents collaborate effectively—for example, through clear technical context, specifications, automated tests, CI feedback, evaluation harnesses, or repeatable development environments.
• A track record of improving engineering leverage through automation, developer tooling, platform capabilities, or workflow redesign—not merely adopting tools in isolation.
• Strong instincts for the risks of AI-assisted delivery, including incorrect or insecure output, dependency and data exposure, insufficient test coverage, nondeterministic behavior, and unclear ownership.
• Comfort measuring whether new engineering practices improve outcomes such as cycle time, quality, reliability, maintainability, developer experience, or customer impact.
• A mindset focused on seizing opportunities and moving with urgency
• Dedication to fierce prioritization and operational excellence
• Adaptability to a dynamic, fast-moving environment
• A growth mindset and openness to feedback