Role- Associate Product Owner  Location - Remote Chennai, India or Colombo,SriLanka Open Positions -2 Role Overview  DigitalT3 is seeking a motivated Associate Product Owner to join our innovative team. This entry-level position is ideal for recent graduates or professionals transitioning into product ownership who are passionate about technology, agile methodologies, and AI-driven product development. You will work under the mentorship of senior product professionals while contributing to real product initiatives and gaining hands-on experience in modern product management practices. 

Department:	Product Management
Reports To:	Head of Product
Experience Level:	6 Months -2 years
Location:	Hybrid / Remote Options Available

  Key Responsibilities 

• Lead in gathering and documenting product requirements, product visioning, suggestions to and from stakeholders and customers 
• Lead creation and maintenance of the product backlog under senior guidance 
• Write clear user stories with acceptance criteria for development teams 
• Participate actively in sprint planning, daily stand-ups, reviews, and retrospectives 
• Collaborate with cross-functional teams including developers, designers, and QA testers 
• Learn and apply Agile and Scrum principles in daily work 
• Lead in product roadmap planning and feature prioritization discussions 
• Conduct market and competitor research to support product decisions 
• Use AI tools to automate routine tasks such as meeting summaries and documentation 
• Support customer feedback collection and analysis initiatives 

Required Qualifications 

• Bachelor's degree in Computer Science, Business, Engineering, or related field 
• 6 months - 2 years of experience in product management, business analysis, or related roles understanding deliverables 
• Basic understanding of Agile and Scrum methodologies 
• Strong written and verbal communication skills 
• Eagerness to learn and adapt in a fast-paced environment 
• Basic analytical and problem-solving abilities 

Technical Skills & AI Competencies  Core Technical Skills: 

• Familiarity with product management tools (Jira, Confluence, Trello, or similar) 
• Understanding of software development lifecycle 
• Proficiency in Microsoft Office Suite and Google Workspace 
• Data analysis skills using Excel or Google Sheets 

AI Tools & Knowledge (Required): 

• Hands-on experience with ChatGPT, Claude, or similar AI assistants for documentation, brainstorming and product visioning/building 
• Prompt engineering skills to generate product requirements/visions and user stories 
• Familiarity with AI-powered productivity tools (Grammarly, Notion AI, or similar) 
• Understanding of AI concepts and terminology (ML, LLMs, training data) 
• Awareness of AI ethics, bias detection, and responsible AI practices 

Preferred AI Skills: 

• Experience with AI analytics tools  
• Understanding of no-code/low-code AI platforms  
• Exposure to AI product features (recommendations, personalization, chatbots) 

Essential Soft Skills 

• Strong interpersonal and collaboration skills 
• Logical and analytical thinking 
• Active listening and ability to gather requirements effectively 
• Adaptability and willingness to learn from feedback 
• Stakeholder management and communication 
• Time management and organizational skills 
• Customer-centric mindset 
• Curiosity and continuous learning attitude 

Certifications (Preferred but Not Required) 

• Certified Scrum Product Owner (CSPO) 
• Professional Scrum Product Owner I (PSPO I) 
• Google AI for Everyone or similar AI fundamentals certification 
• SAFe Product Owner/Product Manager certification 

What We Offer 

• Exposure to cutting-edge AI-driven product development 
• Competitive salary and benefits package 
• Clear career progression path within DigitalT3 
• Flexible work arrangements and modern collaborative tools 
• Dynamic, innovative, and inclusive work culture 

DigitalT3 is an equal opportunity employer committed to diversity and inclusion. 

Role Overview : We are seeking a Technical Project Lead to lead and deliver full stack software projects.  This role requires a strong blend of agile delivery leadership, technical depth, and stakeholder (client, team etc.) management. You will work closely with clients, product owners, Tech Leads, full stack engineers and AI engineers to ensure timely, high-quality delivery of scalable, intelligent solutions.  This role requires hands-on with Agile/Scrum practices, deeply understands modern web and GenAI architectures, and can bridge the gap between business objectives and technical execution.  Key Responsibilities (Must Have & Recent Experience ) 

1. Serve as Project Lead for one or more cross-functional Agile teams, and own project planning and execution across all software development phases (Requirements, Architecture & Design, Development and Release) 

1. Create and manage project plans, timelines, risk registers, and dependency tracking 

1. Manage scope, schedule, and quality while balancing evolving product needs 

1. Facilitate all Scrum ceremonies: Sprint Planning, Daily Standups, Reviews, and Retrospectives with adherence to Agile/Scrum principles, removing impediments and enabling continuous improvement 

• Act as the primary point of contact for internal and external stakeholders 

Deliverables (Primary) 

• Sprint deliverables aligned with delivery roadmap and release schedules 

• Sprint Reports (velocity, quality, predictability), RAID Log etc.  

• Post-release reviews and retrospective action items 

Required Qualifications / Experience 

• 7+ years of experience in Technical Project lead  

• Proven track record delivering full stack cloud-based and/or AI/ML applications 

• Experience in Agile environments (Scrum, Kanban or hybrid models) 

Technical Skills 

• Strong understanding of full stack architectures  Front End (React/Angular) & Backend Technologies (Python, Node.js, Java, C#) 

• Cloud platforms: AWS / Azure/ GCP  

• DevOps tools: CI/CD pipelines, Docker, Kubernetes (foundation knowledge) 

• Experience with tools such as Jira, Azure DevOps, Confluence, GitHub/ GitLab 

  Soft Skills 

• Self Motivated, Excellent communication, facilitation, and negotiation skills 

• Strong problem-solving mindset with attention to detail 

• Ability to influence without authority &  to manage remote teams 

• Comfortable working in fast-paced, ambiguity-rich environments 

Preferred Qualifications 

• Background as a software engineer, tech lead or similar roles 

• Leverage AI for acceleration project planning & execution 

• Experience in regulated or enterprise-scale environments 

• Scrum Master Certification (CSM, PSM I/II, SAFe SM), PMP or PgMP certification 

  At DigitalT3, we believe in creating a collaborative and flexible environment where innovation and people truly matter. Our culture is built on trust, transparency, and continuous learning — because great ideas come from empowered teams. 

• Impact-driven projects – Be part of initiatives that shape how companies innovate with AI and technology. 

• Remote-first culture – Work from wherever you feel most productive. 

• Flexible working hours – We focus on outcomes, not clocking in. 

• Competitive compensation – Fair, transparent pay aligned with market standards. 

• Continuous learning & mentorship – You’ll have access to experienced mentors and growth opportunities to keep developing your skills. 

At the end of the day, it’s not just about the work — it’s about being part of a team that values people, purpose, and growth.     

Contract Type: Full-Time Contract Location: India Remote only This is a remote role; However, candidates should be open to travel for team meetups or client visits, as required. Role Overview Designs, builds, and maintains scalable cloud infrastructure using IaC  and automates CI/CD pipelines. Lead incident management, optimize system performance & ensure security compliance. This is an engineering-first role — you will be close to the code, the infrastructure, and the decisions that shape how we build and operate at scale.    Core Responsibilities 

• Infrastructure as Code (IaC): Design and manage infrastructure. 

• CI/CD Pipeline Development: Create and maintain robust, scalable CI/CD pipelines to ensure rapid, reliable code deployment. 

• Cloud Management: Deploy and manage cloud-based production systems  focusing on performance, scalability, and security. 

• Containerization & Orchestration: Manage container-based deployments utilizing Docker and Kubernetes. 

• Monitoring & Incident Response: Monitor system health and lead on-call incident resolution. 

• Security & Compliance: Integrate security best practices (DevSecOps) at the infrastructure level 

• Teaming & Collaboration: Mentor DevOps engineers & cloud teams, collaborate closely with application, data, security, and infrastructure teams. Contribute to technical roadmaps, architecture standards, and internal documentation. 

Experience (Must Have) 

• 8+ years of overall IT experience, with 6+ years in DevOps or cloud-native engineering roles. 

• Proven track record designing and operating enterprise-scale, production-ready cloud platforms. 

• Experience integrating automation across CI/CD, infrastructure provisioning, and operational workflows. 

Technical Skills (Must Have & Recent Experience) 

• Cloud: AWS /Azure/GCP — compute, networking, storage, IAM, and security services. 

• Containers: Kubernetes (EKS, AKS), Helm, Docker. 

• IaC: Terraform at enterprise scale; policy enforcement and drift management. 

• Configuration Management : Ansible or similar  

• CI/CD: GitHub Actions, GitLab CI, Jenkins, or equivalent; GitOps tooling. 

• Observability: Prometheus, Grafana, CloudWatch, Azure Monitor, distributed tracing. 

• Programming: Python/Node.js for automation, integrations, and AI-assisted tooling; ability to consume AI/ML APIs and SDKs. 

• Security: Cloud IAM design, RBAC, OIDC federation, OPA, and policy-as-code. 

Soft Skills 

• Self-motivated, outcome-focused, and passionate about automation and continuous improvement. 

• Strong design thinking and structured problem-solving approach. 

• Clear, confident communication with both technical peers & non-technical stakeholders. 

• Ability to influence technical direction and drive alignment across teams. 

Nice to have 

• Background working in multi-cloud or hybrid cloud environments. 

• AI Exposure: Practical experience using GitHub Copilot, Claude, or equivalent AI-assisted tools in infrastructure design, incident analysis, or documentation workflows.  

At DigitalT3, we believe in creating a collaborative and flexible environment where innovation and people truly matter. Our culture is built on trust, transparency, and continuous learning — because great ideas come from empowered teams. 

• Impact-driven projects – Be part of initiatives that shape how companies innovate with AI and technology. 

• Remote-first culture – Work from wherever you feel most productive. 

• Flexible working hours – We focus on outcomes, not clocking in. 

• Competitive compensation – Fair, transparent pay aligned with market standards. 

• Continuous learning & mentorship – You’ll have access to experienced mentors and growth opportunities to keep developing your skills. 

At the end of the day, it’s not just about the work — it’s about being part of a team that values people, purpose, and growth.     

AI FIRST – Principal Engineer  Tamil Nadu (Remote) - Full-time (40 hrs/week)  Experience: 8–10 Years  Job Description  We're looking for a Principal Engineer to serve as a technical anchor for our AI-first engineering organization. In this role, you'll drive the architecture and technical direction of our most complex systems, define engineering standards across the team, and ensure our AI-powered products are built to scale. You'll work closely with the Tech Lead and senior stakeholders to translate business goals into robust, forward-thinking technical solutions — while also being deeply hands-on when it matters.  Key Responsibilities  Full Stack Development 

• Lead the technical design of large-scale, cross-cutting full-stack initiatives. 

• Define and enforce engineering standards, patterns, and best practices across teams. 

• Implement full-stack features using React.js, Next.js, and TypeScript on the frontend, with Python (FastAPI) and/or Node.js backends. 

• Architect and oversee microservices, APIs, and service integration strategies. 

• Own and evolve AWS-based infrastructure for web and backend workloads, using Terraform for infrastructure as code. 

• Lead containerization and orchestration strategy using Docker and Kubernetes. 

• Drive system reliability, security architecture, and cost optimization across services. 

• Size and estimate projects across full-stack and AI workstreams; guide planning and prioritization. 

• Operate within an Agile delivery model, using Jira for planning and cross-team coordination. 

• Mentor senior and mid-level engineers; champion high engineering standards through code and design reviews. 

AI Engineering 

• Set the technical direction for GenAI development, including model selection, pipeline architecture, and scalability strategy. 

• Define and own best practices for LLM development, evaluation, and production deployment. 

• Architect end-to-end LLM pipelines from experimentation to production, including RAG systems and retrieval infrastructure. 

• Develop and standardize advanced prompt engineering frameworks across the team. 

• Lead rigorous model evaluations and define performance optimization strategies. 

• Design and oversee CI/CD pipelines tailored for AI systems. 

• Architect and maintain AWS-based infrastructure for AI workloads (SageMaker, etc.). 

• Build and evolve monitoring, observability, and evaluation tooling for LLM applications. 

Candidate Requirements 

• 8–10 years of software engineering experience, including meaningful time in senior or lead roles. 

• Deep full-stack development expertise using React.js, Next.js, and TypeScript. 

• Strong proficiency in Python (FastAPI) and/or Node.js for backend services. 

• Proven track record of building and deploying LLM or GenAI applications in production at scale. 

• Deep understanding of prompt engineering, LLM evaluation, and RAG systems. 

• Expert-level knowledge of AWS (SageMaker, Lambda, ECS, S3, etc.), Docker, and Kubernetes. 

• Strong experience with Terraform and CI/CD pipelines (GitHub Actions or similar). 

• Excellent background in system design, API architecture, distributed systems, and microservices. 

• Experience driving engineering standards, cross-team alignment, and technical decision-making. 

• Strong communication skills — able to influence technical direction with peers and leadership. 

Good to Have 

• Experience with fine-tuning, RLHF, or training LLMs. 

• Familiarity with LangChain, LlamaIndex, or similar frameworks. 

• Background in MLOps, model monitoring, and AI observability. 

• Experience with A/B testing and experimentation frameworks. 

• Open-source contributions or thought leadership in GenAI or distributed systems. 

Contract Type: This is a full-time, direct-hire opportunity with our end client.  Location: Remote — Toronto (PST-friendly preferred). Eligibility: Must have valid work authorization in Canada (Canadian citizen or permanent resident).

Role Overview:

We are seeking a Solutions Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.   

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 
• Integration with Data experience. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 7-10 years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Must Have (Integration Experience): SAP, ServiceNow, Salesforce, Workday, Oracle
• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable.

What Our Client Offers

• Fully remote and flexible work environment
• Opportunity to work at the forefront of applied AI engineering
• High-impact, customer-facing technical work with enterprise clients
• Collaborative startup culture with strong growth opportunities
• Contract-to-hire opportunities with potential for long-term growth

Full-Time Employee Benefits

Upon full-time conversion, team members may be eligible for:

• Medical, dental, and vision coverage
• Flexible PTO culture and 11 U.S. federal holidays
• Equity / stock option opportunities with standard 4-year vesting structures

As an early-stage startup, programs and benefits may continue evolving as the company scales.

Contract Type: This is a full-time, direct-hire opportunity with our end client. Location: Open to candidates willing to relocate to Palo Alto, CA (Hybrid mode – 3 days onsite per week). (PST-friendly preferred). Eligibility: U.S. Citizens or Green Card holders only.

Role Overview:

We are seeking a Solutions Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.   

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 
• Integration with Data experience. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 7-10 years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Must Have (Integration Experience): SAP, ServiceNow, Salesforce, Workday, Oracle
• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

What Our Client Offers

• Hybrid model – 3 days onsite per week
• Opportunity to work at the forefront of applied AI engineering
• High-impact, customer-facing technical work with enterprise clients
• Collaborative startup culture with strong growth opportunities
• Contract-to-hire opportunities with potential for long-term growth

Full-Time Employee Benefits

Upon full-time conversion, team members may be eligible for:

• Medical, dental, and vision coverage
• Flexible PTO culture and 11 U.S. federal holidays
• Equity / stock option opportunities with standard 4-year vesting structures

As an early-stage startup, programs and benefits may continue evolving as the company scales.

Contract Type: This is a full-time, direct-hire opportunity with our end client.  Location: Remote — New York (PST-friendly preferred). Eligibility: U.S. Citizens or Green Card holders only.

Role Overview:

We are seeking a Solutions Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments. 

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 
• Integration with Data experience. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 7-10 years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Must Have (Integration Experience): SAP, ServiceNow, Salesforce, Workday, Oracle
• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

What Our Client Offers

• Fully remote and flexible work environment
• Opportunity to work at the forefront of applied AI engineering
• High-impact, customer-facing technical work with enterprise clients
• Collaborative startup culture with strong growth opportunities
• Contract-to-hire opportunities with potential for long-term growth

Full-Time Employee Benefits

Upon full-time conversion, team members may be eligible for:

• Medical, dental, and vision coverage
• Flexible PTO culture and 11 U.S. federal holidays
• Equity / stock option opportunities with standard 4-year vesting structures

As an early-stage startup, programs and benefits may continue evolving as the company scales.

Contract Type: This is a full-time, direct-hire opportunity with our end client.  Eligibility: U.S. Citizens or Green Card holders only.

Role Overview:

We are seeking a Solutions Engineer who combines deep technical expertise with strong consultative capabilities. In this role, you will act as a trusted technical advisor to enterprise customers, guiding them through complex integrations and ensuring our platform delivers measurable business impact within their environments.  You will work directly alongside customer teams-both remotely and on-site when needed- to understand their operational landscape, technical architecture, and strategic objectives. As a key bridge between enterprise stakeholders and our core engineering team, you will drive successful deployments while shaping product evolution through real-world insights.  This is a high-ownership, customer-embedded role requiring flexibility, adaptability, and readiness to engage directly with clients in their environments.   

Key Responsibilities:

Customer-Facing Consulting & Technical Leadership 

• Serve as the primary technical advisor to enterprise clients throughout onboarding, deployment, and expansion phases. 
• Lead technical discovery sessions and translate business requirements into scalable implementation strategies. 
• Provide architectural guidance aligned with enterprise security, compliance, and operational constraints. 
• Build trusted relationships with customer technical and executive stakeholders. 
• Troubleshoot complex issues in real time, maintaining ownership and accountability through resolution. 
• Travel to customer sites as required to support high-impact deployments, workshops, and strategic engagements. 

Integration & Implementation 

• Deploy and configure the platform in enterprise production environments. 
• Integrate with customer systems, APIs, identity providers, data sources, and internal workflows. 
• Implement custom scripts, connectors, or extensions in Python when required. 
• Guide Cloud-based deployments and advise on infrastructure best practices. 
• Ensure deployments are robust, secure, and scalable. 
• Integration with Data experience. 

Operational & Strategic Ownership 

• Develop repeatable deployment frameworks, integration playbooks, and best practices. 
• Partner with Sales and Customer Success on technical scoping and feasibility analysis. 
• Translate field learnings into product and engineering improvements. 
• Support scalable growth of forward-deployed operations. 

Qualifications:

• 7-10 years in software engineering, solutions engineering, implementation engineering, consulting, or forward-deployed roles. 
• Proven experience working directly with enterprise customers in technical engagements. 
• Experience deploying/integrating systems on a major cloud provider (preferably Azure). 
• Strong Python experience in production environments. 
• Experience in high-growth or startup environments is a plus. 
• Bachelor’s or Master’s degree in Computer Science or related technical field. 

Technical Skills:

• Must Have (Integration Experience): SAP, ServiceNow, Salesforce, Workday, Oracle
• Strong proficiency in Python. 
• Familiarity with Azure services and enterprise cloud architectures. 
• Experience integrating with enterprise systems, APIs, and authentication frameworks. 
• Strong understanding of cloud deployment models, security constraints, and operational best practices. 
• Advanced debugging and troubleshooting capabilities. 

Soft Skills:

• Exceptional communication skills across technical and non-technical stakeholders. 
• Strong consultative mindset with the ability to influence architectural decisions. 
• High level of ownership and accountability. 
• Professional presence when engaging enterprise stakeholders. 
• Ability to operate effectively in ambiguous, fast-paced environments. 
• Structured problem-solving and analytical thinking. 
• Highly collaborative and adaptable. 

What Our Client Offers

• Fully remote and flexible work environment
• Opportunity to work at the forefront of applied AI engineering
• High-impact, customer-facing technical work with enterprise clients
• Collaborative startup culture with strong growth opportunities
• Contract-to-hire opportunities with potential for long-term growth

Full-Time Employee Benefits

Upon full-time conversion, team members may be eligible for:

• Medical, dental, and vision coverage
• Flexible PTO culture and 11 U.S. federal holidays
• Equity / stock option opportunities with standard 4-year vesting structures

As an early-stage startup, programs and benefits may continue evolving as the company scales.