66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.
At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
As a Forward Deployment Engineer, you will work closely with Sales, Engineering, and Service Delivery teams to ensure our customers are achieving successful implementations of complex end-to-end deployments of frontier models. You will work with internal and external stakeholders to drive discovery, technical scoping, system design, build, and production rollout. You must have a strong understanding of the go-to-market and sales processes. Gap identification and whitespace mapping comes naturally to you. You are a person who is always thinking about how agents can be used to do a piece or work better and faster. You’re not only brimming with innovative ideas but have the technical knowhow and tools to quickly convert those ideas into production grade solutions. Through your collaborative interactions with our teams and stakeholders, you’ll have an active role in shaping our stakeholder experience from start to finish.
You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.
Responsibilities- Explore and ideate opportunities in GTM teams to drive and scale the adoption of agentic solutions, complex data models, and intricate workflows
- Map out the sales journey and create an end-to-end blueprint to identify opportunities for AI and agentic ways of working
- Enhance sales productivity through smart and personalized approach to workflow automation
- Own technical delivery across multiple deployments from prototype to stable production
- Build full-stack systems that deliver customer value and sharpen how we learn
- Have architectural bent of mind, innovative thinking, real-time creation & demo of potential solutions, and knowledge of business workflows & industry solutions
- Embed closely with account teams, understand their needs, and guide adoption of what you build
- Scope work, sequence delivery, and remove blockers early
- Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
- Codify working patterns into tools, playbooks, or building blocks that others can use
- Hands-on-keyboard – over 60% of your work will involve coding and agent development & deployment
- Share field feedback that helps Research and Product understand where the models succeed and where they can improve
- Keep teams moving through clarity and follow-through
- Build strong relationships with key stakeholders and decision-makers to drive customer success and satisfaction.
- Put on consulting hat during stakeholder engagements and drive full stack thinking around both business and technology levers
- Design and propose fit-for-purpose agentic solutions for clients based on your research and their needs.
- Prepare demonstrations and proof of concept environments based on client requirements.
- Embrace 66degrees team mentality by providing our team general support on new products and technology in the market.
- 5+ years of experience working within Google Cloud Platform (GCP) or Azure/AWS (GCP Preferred).
- Professional level certification in GCP is required. FDE training and certification is a plus.
- Experience strategizing, designing, architecting, and leading the deployment of scalable solutions on GCP, strongly preferred.
- 7+ years of engineering or technical deployment experience that includes customer- or internal stakeholder-facing work
- Scope and deliver complex systems in fast-moving or ambiguous environments
- Expertise in production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
- Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience, preferably in Google stack or Anthropic
- Drive solutions from ambiguity to simplicity in a fast paced environment within tight deadlines
- Strong communication, clarity of thoughts, full-stack approach, and leadership drive critical decisions with engineers, product teams, and customer stakeholders
- Be comfortable working at all levels of leadership, including CXOs
- Foresight, risk management, and runtime adjustments without impacting customer experience
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
Please note, we cannot sponsor or transfer any visas, of any kind, at this time.
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
AI Transparency & DisclosureAs an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights.
These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.
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