Senior Software Engineer (REMOTE)
Traackr • USKotlin Remote
Traackr is a global SaaS technology company providing a data-driven influencer marketing platform that marketers use to optimize investments, streamline campaigns, and scale programs. Our customers range from some of the world’s largest companies in the beauty and personal care space to digitally native indie brands, which have all made influencer management and engagement a critical practice of their marketing and advertising programs. We are a remote-first company, and for the folks that like to meet in person, we have offices in San Francisco, New York, Boston, Paris, and London. We operate on a culture of mutual respect, with core value pillars including:
Trust. We earn the trust of our team, customers, creators, and partners through transparency, predictability, and integrity.
Diversity. Bringing diverse perspectives to the table results in stronger outcomes. All are welcome.
Value. Through our words and actions, we strive to create tangible value for our customers and peers. We only succeed when our community succeeds.
Ownership. We lead with action. We take pride in solving the hardest challenges and feel accountable for our commitments.
Mutual success. We share goals with each other and with our clients. Alignment, collaboration, and empathy are the cornerstones of our success.
This position is 100% remote, with the understanding that occasional in-person attendance may be required for trainings, meetings, and team gatherings, as determined by your manager.
As a Senior Software Engineer, you will make a major impact on Traackr’s scalable influencer marketing platform by designing and evolving our distributed backend systems: data processing pipelines, API integrations, and product-facing services. You’ll own work end-to-end, from framing the problem and defining success metrics to shipping safely and operating reliably in production. In an AI-enabled engineering era, you’ll use GenAI tools to accelerate delivery, and apply an experimentation mindset to validate outcomes: versioning and evaluating changes (including prompts/config), measuring impact with data, and building observability and regression checks that keep quality high as systems evolve.