Solutions Engineer Sales · · Fully Remote in work from home, India

About Oden: Manufacturing is undergoing its fourth industrial revolution, with factory operations increasingly driven by real-time applications that combine process and context data with advanced ML and AI algorithms. This is unlocking a staggering opportunity to improve the efficiency and productivity of existing manufacturing processes.
As a Manufacturing AI company, Oden is at the forefront of this revolution. We combine large-scale data processing architectures and advanced AI and ML algorithms within the Oden platform so manufacturing operations teams can continuously monitor, analyze, and optimize their production, across a diverse set of processes and conditions. Our goal is to maximize efficiency, sustainability, and competitiveness in the manufacturing domain - to help True Makers Make Things Better!

When in doubt, we go to the Gemba – we're happy to put on steel toe boots and hit the factory floor to work with the production manager.
We move fast and follow through – we live by transparent and scientific thinking, act with urgency, and put in the work to find the best ideas with those around us.
We elevate each other by giving and receiving direct, honest feedback and holding ourselves and others to a high standard to help the team rise, deliver, and win together.
'We're building a community that fuels innovation and accelerates our pace and impact. The Solutions Engineer is a core member of Oden's post-sales team, responsible for delivering the technical work that makes our enterprise manufacturing customers successful. The post-sales team includes Solutions Managers, Customer Success Engineers, and other Solutions Engineers depending on the size and complexity of the account. On smaller accounts, you'll be the main technical resource, working in close partnership with the Customer Success Engineer who coordinates the customer relationship and adoption side. As an engineer in a technical role, you will design and build integration solutions that allow the Oden platform to connect to different factory systems and APIs. You will work closely with the Oden Data Science team to design and build AI and ML based solutions to customer problems, configure and deploy these solutions within the Oden platform, and drive the technical outcomes that keep deployments on track and customers seeing value. Strong data analytical skills - to be able to interpret data from the customer, triage issues, understand failure modes and deliver fixes are key to the role. You will also be expected to work closely with the core product and platform engineering team to set up requirements, and drive updates and improvements to the product capabilities.
This role requires strong data handling and analysis fundamentals, attention to detail, technical depth — Python, Golang, SQL, APIs, ETL pipelines, use of AI agents for coding, analysis, and automation — alongside the customer-facing instincts to build trust with a plant manager and the product sensibility to translate what you see on the floor into meaningful input for Product and Engineering.
Serve as the primary technical resource on assigned accounts — from discovery and solution design through deployment, integration, and ongoing technical support
Build trusted relationships with customer technical leads, IT teams, and manufacturing operations stakeholders — becoming the go-to for technical questions, troubleshooting, and integration guidance
Proactively surface technical risks and blockers early, and pull in the right internal expertise when needed to keep deployments on track
Technical Solution Design and Implementation
Collaborate with Sales, Data Science, and Product Engineering to understand customer use cases, data integration requirements, and technical constraints given the different data models across customers and Oden.
Design and implement technical solutions that integrate relevant data sources to Oden's cloud endpoints, including system configurations, data architecture, and integration requirements. Have a strong understanding of the correctness and performance (latency/uptime) for every deployed integration. Oversee integration with existing manufacturing systems including ERP, MES, and QMS platforms; manage dependencies, sequencing, and technical risks across systems
Develop, maintain, and improve connector libraries that interface Oden with common manufacturing and enterprise systems — building reusable tooling that makes future deployments faster and more repeatable. Collaborate with the product and platform engineering team to integrate these libraries into the product.
Work with Data Science to design the solution for the customer problem, including the use of AI and ML models. Lead the technical implementation of Oden solution — configuring and customising the platform, building models and detectors, and combining them with alerts and recommendations to align with customer workflows, processes, and business rules and drive value.
Actively develop implementation planning on your accounts — scope, configurations, timelines, and milestones — in collaboration with the Solutions Manager or Customer Success Engineer coordinating the account and delivering results in a timely manner.
Post-Implementation Support and Product Feedback
Serve as a subject matter expert on Oden's architecture, APIs, and data models — and stay current as the platform evolves
Troubleshoot technical issues across networking, data pipelines, QA, and system configurations, both remotely and on-site. Have a demonstrated ability to understand data and common issues with data and integrations that impact the solution, and be able to independently triage issues and deploy fixes/solutions.
Translate field observations and product gaps into structured, actionable feedback for Product and Engineering; Provide guidance to customers and internal teams on implementation best practices, integration patterns, and technical methodologies
Develop and maintain integration documentation to support repeatable, scalable deployments
Develop and maintain solution design and implementation documentation to support maintenance, and replicability
Continuously update documentation based on customer feedback, product changes, and lessons learned across the account base
4+ years of experience in a technical customer-facing role — Solutions Engineer, Forward Deployed Engineer, Implementation Engineer, Technical Consultant, or similar — supporting enterprise SaaS deployments or digital transformation projects

• Programming experience: Python, Golang or equivalent, SQL, REST APIs, familiarity with Bash and terminal-based workflows, AI-powered coding assistants
• Strong experience with large datasets - management, processing, analysis - using off the shelf analytical tools, including AI tools.
• Experience with distributed systems, middleware and integration toolsets, Windows and Linux operating systems, enterprise networking and troubleshooting, and deploying and maintaining remote applications. Have strong experience understanding and debugging issues with performance, correctness, and reliability of these integrations. Comfortable with Google Cloud.
• Technically strong and comfortable working independently on complex integration problems — you can go deep on a technical challenge, work through it methodically, and communicate progress clearly to both technical and non-technical stakeholders
• Strong project management and self-organisation skills; able to manage multiple accounts and priorities simultaneously
• Comfortable in ambiguous, fast-moving environments where requirements shift and no two accounts look the same
• Willingness to travel to customer sites 25–40% depending on deployment phase
• Direct experience working in manufacturing operations, industrial engineering, reliability, or OT — having worked on or alongside a production floor

Customer-facing exposure to manufacturing, field management, construction, or other operational technology environments - ability to be credible in industrial environments.
Familiarity with OEE, fault analysis, predictive analytics, or production AI use cases in a manufacturing context
Experience with data pipeline tooling (Airflow, Databricks, or similar) and BI or dashboard platforms
Prior experience at a growth-stage industrial technology or SaaS company (30–200 people)
Experience contributing to product feedback loops and roadmap prioritisation in a customer-facing role
Compensation
We anticipate hiring this role at either the Senior Associate level ($95,000 to $130,000 base) or the Senior level ($115,000 to $160,000 base), depending on the candidate's experience, skills, and internal equity considerations, in addition to equity and benefits.
We prioritze your career development, offering personalized pathways for growth and advancement. Diversity at Oden means building a team that is rich across all boundaries of race, ethnicity, gender identification, sexual orientation, disability, religion, age and thinking style. We welcome all backgrounds, life experiences, and worldviews as these are the catalyst for the rapid evolution of our product and our organization. Diversity allows us to tackle new challenges, embrace change, make well-informed decisions, and ultimately Make Things Better. In alignment with our 'People First' company value, Oden has a passionate internal team dedicated to the promotion of diversity and inclusion initiatives as a core component of our culture.

Our diversity initiatives apply to our practices and policies on recruiting, compensation and benefits; professional development; promotions;