AI Software Engineering Lead

About Us:

Tired of the same old corporate grind? At Consensus, we’re not just another SaaS company—we're a dynamic team on a mission to change how buyers buy and how sellers sell. Your unique perspective isn’t just welcomed; it’s essential. We empower you to bring your authentic self to work and fuel your passion for innovation.

Our values aren’t just words on a wall—they’re the heartbeat of our culture. We want you to show up, ready to contribute and grow. Embrace the idea that perfection isn’t the goal; it’s about putting your name on something that’s a “version one” and owning the journey.

With our Product Experience Platform, we’re changing the game with tools like product tours, video demos, and product simulations that accelerate deal closures and create engaging buyer experiences. If you’re ready to roll up your sleeves and contribute to a transformative journey in enterprise software, we want you on our team. Want to see Consensus in action for yourself? Check out our demo (in the Consensus platform—meta, right?)

The Team:

Engineering at Consensus is where collaboration meets innovation. We operate with transparency and foster a blameless culture—mistakes aren’t something to hide; they’re fuel for growth. Solving real customer challenges is at the heart of everything we do, and we believe the best software comes from engineers who think like product owners. Here, your ideas matter, your work drives impact, and every line of code makes a difference.

About the Role:

We're seeking a Software Engineering Lead to drive the technical execution of our AI initiatives. This role combines deep AI expertise with senior-level software engineering skills to create the intelligent systems that power Consensus's demo automation platform.

You'll own the delivery of AI-driven systems from implementation to deployment. This is a hands-on role where your primary impact comes from the code you write, the systems you build, and the technical decisions you make.

We're looking for someone who has managed engineers or led teams to deliver outcomes, though you'll start in a primarily hands-on capacity. Over the next 6 months - 1 year, as our AI initiatives scale, this role will naturally evolve to include full management responsibilities.

What You’ll Do:

●      Own the technical delivery and outcomes of AI-driven features from design through production

●      Drive planning and prioritization for AI initiatives in collaboration with product, design and leadership

●      Build and deploy AI systems using LLMs, agent frameworks, and modern AI tooling to power Consensus's AI features

●      Work with data scientists, architects and other team leaders to identify and integrate disparate data from various systems, building the data foundation needed to deliver robust AI insights

●      Communicate asynchronously with stakeholders to keep them informed on progress, decisions, and blockers

●      Monitor system health with DevOps and use that information to influence the roadmap through improved alerting, monitoring, and logging

●      Mentor, coach and eventually manager engineers

What We’re Looking For:

●      7-8+ years of software engineering experience across different roles and levels of seniority - including experience as a senior contributor, technical lead, and/or managing engineers

●      Prior experience managing engineers or leading teams to deliver outcomes

●      Proven ability to take ownership of complex technical initiatives and drive them to completion

●      Experience with writing and deploying Python applications

●      Understanding of how data flows through systems and the processes involved in data integration, even if you're not building ETL pipelines yourself

●      High degree of AI fluency - you should be a power user of AI tools and understand how to leverage AI in your own workflows

●      Understanding of database solutions including relational, noSQL, and vector databases

●      Solid architectural principles for back-end applications and API development

●      Experience with Docker and Kubernetes

●      Experience with cloud providers such as AWS, GCP, Azure, or Oracle

●      Strong debugging and performance optimization skills

●      Excellent written and oral communication skills with ability to work asynchronously across teams

●      Experience working in remote or distributed team environments

●      Pragmatic approach to balancing feature development with architectural evolution

●      Experience with TypeScript/Node.js is a plus

●      Experience with Kafka or other event streaming platforms is a plus

●      Hands-on experience with continuous integration and agile methodologies is a plus