Partner Technical Architect Jobs

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. Sr Staff Solutions Architect (Design Partner Program) The Challenge We're looking for a Solutions Architect to join our R&D Customer Engineering organisation and partner with strategic Design Partner customers. This is a highly customer-facing role that sits at the intersection of solution architecture, product strategy, and enterprise governance. You will work directly with customers to understand their business challenges, technical requirements, regulatory considerations, and strategic objectives. Acting as the bridge between customers, Product Management, Engineering, and Executive Leadership, you will help shape product direction, influence roadmap investments, and design scalable solutions that deliver measurable customer outcomes. Success in this role means helping customers operationalise trust, governance, privacy, risk management, consent, and responsible data use while accelerating adoption, improving implementation outcomes, and driving long-term platform value. Your Mission Partner directly with enterprise customers to understand business objectives, technical requirements, operational challenges, and

MongoDB is seeking a Director of Partner Solution Architects, APAC to lead a team of Partner Solutions Architects dedicated to building and strengthening relationships across our ISV, HyperScaler, and SI partner ecosystem. This role is focused on strategic partner management, ensuring MongoDB’s platform is aligned with our partners’ needs and driving mutual success. This position is ideal for a leader with strong strategic and business acumen, experience in partner ecosystems, and a passion for enabling collaboration and growth. This role will be based remotely in Bengaluru. Role Responsibilities: Leadership & Strategic Partnership Management: Guide a team of Partner Solution Architects, empowering them to develop and maintain impactful relationships within the partner ecosystem, fostering mutual growth and business success Craft and implement strategic initiatives that support partner success with MongoDB’s platform, ensuring alignment between MongoDB’s goals and those of our partners Work cross-functionally to establish business plans for MongoDB’s partner ecosystem, bringing in resources from product, engineering, and sales to maximize partner engagement and success Technical Enablement & Market Relevance: Enable partners with the knowledge, tools, and resources they need to drive technical alignment, without requiring deep technical expertise Support partners in understanding MongoDB’s offerings and assist in aligning MongoDB’s solutions with their own to address market needs and opportunities Act as a trusted advisor by reinforcing MongoDB’s value proposition and ensuring partner solutions remain competitive and relevant in the industry Business Development & Ecosystem Expansion: Partner with sales and marketing teams to identify and capitalize on opportunities within the partner ecosystem, driving joint business goals and expanding MongoDB’s market presence Guide the development of co-branded solutions and joint proposals, ensuring mutual alignment

About the team The AI Deployment Engineering team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems. As a Partner AI Deployment Engineer focused on AWS, you will operate at the center of one of our most strategic partnerships, driving joint customer success and enabling AWS and partner ecosystems to scale adoption of OpenAI-powered solutions. About the role We are looking for a highly experienced technical leader to serve as the primary technical counterpart to AWS field leadership (Solutions Architects, Specialists, and Partner teams). This role goes beyond individual deal support—you will shape strategy, define engagement models, and build repeatable systems that scale across AWS globally. You will work across pre- and post-sales, guiding complex enterprise customers from ideation to production while enabling AWS and partners to independently drive deployments. You will combine deep technical expertise, strong judgment, and ecosystem leadership to maximize impact across a portfolio of high-priority opportunities. This role can be based in either Bangalore, Mumbai or Delhi . In this role, you will: Strategic AWS Engagement & Influence Serve as the senior technical counterpart to AWS field leadership, building trust and credibility across regions and teams. Influence joint account strategy and technical direction for high-priority opportunities. Shape how OpenAI engages with AWS by defining engagement models, prioritization frameworks, and best practices. Proactively identify and drive net-new opportunities and high-impact use cases across the AWS ecosystem. Complex Deal Leadership & Execution Lead technical strategy for large, ambiguous, and high-stakes enterprise engagements. Guide customers from early ideation through architecture design, prototyping, and production depl

About the opportunity We are seeking an experienced Lead Technical Product Manager for our Machine Learning Platform within the Intelligent Operations Platforms segment. In this role, you will define the long term vision, platform architecture, and execution strategy for core Machine Learning infrastructure across N26. Your work will enable squads across the bank to automate risk assessments, prevent financial crime, and scale operational efficiency. Our ML Platforms team serves as the central nervous system for real-time, data-driven decisioning. We build and scale horizontal ML capabilities that allow critical functions including Financial Crime, Credit Risk, and Core Operations to execute with absolute precision at scale. As a Lead Product Manager, you will drive multi-squad strategy, transforming complex predictive models into resilient, compliant, sub-second scoring systems. In this role, you will Drive the Core ML Platform Vision: Define and execute the multi-year roadmap for the central Machine Learning platform, ensuring alignment with broader engineering architecture and executive business goals. Lead High-Volume ML Portfolios: Oversee complex predictive ML capabilities supporting high-throughput banking systems, focusing on real-time transaction monitoring, automated credit risk scoring, and operational workflow decisioning. Scale Enterprise MLOps Infrastructure: Own the platform tooling and standards across the full ML lifecycle. Drive strategic decisions around feature stores, real-time feature extraction pipelines, model registries, automated retraining triggers, and CI/CD for ML. Establish Model Evaluation and Governance: Define robust offline and online model evaluation frameworks, shadow deployment mechanics such as champion and challenger testing, and real-time monitoring for model drift, inference latency, and data quality degradation. Bridge Technical Leadership and Compliance: Partner closely with Principal Data Scientists, ML Engineers, Security

About the opportunity We are seeking an experienced Lead Technical Product Manager for our Machine Learning Platform within the Intelligent Operations Platforms segment. In this role, you will define the long term vision, platform architecture, and execution strategy for core Machine Learning infrastructure across N26. Your work will enable squads across the bank to automate risk assessments, prevent financial crime, and scale operational efficiency. Our ML Platforms team serves as the central nervous system for real-time, data-driven decisioning. We build and scale horizontal ML capabilities that allow critical functions including Financial Crime, Credit Risk, and Core Operations to execute with absolute precision at scale. As a Lead Product Manager, you will drive multi-squad strategy, transforming complex predictive models into resilient, compliant, sub-second scoring systems. In this role, you will Drive the Core ML Platform Vision: Define and execute the multi-year roadmap for the central Machine Learning platform, ensuring alignment with broader engineering architecture and executive business goals. Lead High-Volume ML Portfolios: Oversee complex predictive ML capabilities supporting high-throughput banking systems, focusing on real-time transaction monitoring, automated credit risk scoring, and operational workflow decisioning. Scale Enterprise MLOps Infrastructure: Own the platform tooling and standards across the full ML lifecycle. Drive strategic decisions around feature stores, real-time feature extraction pipelines, model registries, automated retraining triggers, and CI/CD for ML. Establish Model Evaluation and Governance: Define robust offline and online model evaluation frameworks, shadow deployment mechanics such as champion and challenger testing, and real-time monitoring for model drift, inference latency, and data quality degradation. Bridge Technical Leadership and Compliance: Partner closely with Principal Data Scientists, ML Engineers, Security

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 20 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role + Responsibilities The Learning Solutions Architect is a customer-facing technical trainer who helps organizations build data and AI capabilities with DataCamp. You’ll deliver engaging live training (virtual and onsite) and create tailored learning materials on the DataCamp platform—think custom courses, projects, certifications and assessments that map to each customer’s roles, tools, and outcomes. You’ll partner with Customer Success, Sales, Product and Content to scope blended learning paths, teach high-impact sessions, and publish reusable, high-quality content that accelerates adoption and measurable skill uplift for some of our most high-value customers. Qualifications Loves to teach. Comfortable spending multiple hours weekly in front of a virtual or onsite classroom. Broad Data Engineering experience with Snowflake/Databricks expertise. 2+ years in technical training, data science/analytics education, solutions engineering, or similar instructor roles. Learns new tools quickly; enjoys tailoring content to different personas (analyst, engineer, business user, exec). Strong communicator who can simplify complex topics for technical and non-technical audiences. Detail-oriented and process-driven; delivers sessions and materials with substance. Flexible schedule to support time zones (this is not a 9 to 5); occasional travel for onsite delivery. Some of your key metrics will be: Customer satisfaction: survey, engagement, repeat bookings Professional services revenue (with a success based

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 20 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role + Responsibilities The Learning Solutions Architect is a customer-facing technical trainer who helps organizations build data and AI capabilities with DataCamp. You’ll deliver engaging live training (virtual and onsite) and create tailored learning materials on the DataCamp platform—think custom courses, projects, certifications and assessments that map to each customer’s roles, tools, and outcomes. You’ll partner with Customer Success, Sales, Product and Content to scope blended learning paths, teach high-impact sessions, and publish reusable, high-quality content that accelerates adoption and measurable skill uplift for some of our most high-value customers. Qualifications Loves to teach. Comfortable spending multiple hours weekly in front of a virtual or onsite classroom. Broad AI Engineering experience with the likes of, ML, NLP, Computer Vision, Deep Learning 2+ years in technical training, data science/analytics education, solutions engineering, or similar instructor roles. Learns new tools quickly; enjoys tailoring content to different personas (analyst, engineer, business user, exec). Strong communicator who can simplify complex topics for technical and non-technical audiences. Detail-oriented and process-driven; delivers sessions and materials with substance. Flexible schedule to support time zones (this is not a 9 to 5); occasional travel for onsite delivery. Some of your key metrics will be: Customer satisfaction: survey, engagement, repeat bookings Professional services revenue (

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. As a Data Solutions Architect , you will lead the strategy, architecture and delivery of enterprise-scale data and analytics solutions for our clients. Working across data architecture, software engineering, cloud platforms, analytics engineering and client advisory, you will translate business priorities into secure, scalable, well-governed and cost-effective solutions. You will partner with executive stakeholders, business leaders and technical teams to define data roadmaps and target-state architectures, evaluate technology options and guide delivery from proposal and estimation through to implementation, enablement and support. You will help clients modernise fragmented data environments and establish trusted data products, intuitive analytics experiences and reusable engineering capabilities that deliver measurable business value. This role also provides technical leadership across multiple projects and teams. You will mentor engineers, facilitate architecture reviews and technical workshops, establish standards and best practices, and act as a trusted adviser who can challenge assumptions, identify opportunities and influence strategic decisions. Key Responsibilities: Lead the design and governance of modern data warehouses, data lakes, lakehouse platforms, semantic layers, dimensional models, master data strategies and analytic

FEQ427R546 You will build and lead a team of Delivery Solution Architects (DSAs) responsible for the post-sales success of Databricks' customers. This is one of the most consequential delivery leadership roles in the company. The customers in your portfolio and your team's work directly determine how quickly Data and AI transform how they do business. As a DSA Manager, you set the technical strategy across your portfolio, decide where to invest your team's capacity, and partner with Sales, Pre-Sales, Professional Services, and our Systems Integrator ecosystem to move use cases from kickoff to production. You are a hands-on technical sponsor and trusted advisor to a select group of customers, including their C-suite. You build the systems, operating cadences, and playbooks that make your team and the broader DSA practice sharper over time. The DSAs you lead are senior technical talent, drawn from principal-level solution architecture, top-tier consulting, or senior engineering backgrounds. Hiring, coaching, and growing this team is the heart of the job. The impact you will have: Hire, coach, and develop a high-performing DSA team. Own career growth, calibrated performance management, and individual development plans. Own capacity planning and investment forecasting across the FINS portfolio. Defend investment decisions with data, alongside sales and field leadership. Partner with Sales, Pre-Sales, Professional Services, and Systems Integrator partners to accelerate use case delivery and reduce customer risk. Drive measurable customer outcomes: use-case throughput, time-to-production, consumption growth, and renewal rates. Forecast each across your portfolio. Bring a programmatic approach to running the business. Build the systems, operating cadences, and playbooks that scale the DSA practice. Shape and promote the value proposition of the DSA role with our internal partners and our customers. What we look for: 5+ years of experience managing a customer-facing technic

MongoDB seeks an experienced Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation. You'll partner with teams across the organization, including Internal Engineering, to explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Our ideal candidate: Has 2-5 years of professional software engineering experience Deep experience with at least one modern programming language (Python, Typescript, Go, Rust, etc.) Strong technical judgment and the ability to independently solve complex engineering problems Excellent communication skills and comfort collaborating across teams and disciplines Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet Hands-on experience prototyping with LLMs or agentic systems (evals, fine-tuning, RAG, tool use, orchestration frameworks) Has the ability to iterate fast, specially in the case where requirements are not clear Keeps up with emerging AI tooling and models, not just what's already mainstream Collaborative, detail-oriented, and passionate about developing usable software Bonus Round: Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines Experience designing systems or services used by other engineers or teams Knowledge of any of the following technologies: Tanstack Start, Next.js, FastAPI, React Experience with model evaluation frameworks, vector databases, or agent orchestration tooling (e.g., LangGraph) Familiarity with transformer architecture and model internals Familiarity with containerized applications, Kubernetes, and ability to design CI/CD pipelines Position Expectations: Design and run experiments that test emerging AI capabilities against real internal use cases, before they're formally prioritized. Condense the learnings of those

We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Team Description MongoDB seeks an experienced Senior Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation. You'll partner with teams across the organization, including Internal Engineering, to explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities. Our ideal candidate: - Has 6+ years of professional software engineering experience - Deep experience with at least one modern programming language (Python, Typescript, Go, Rust, etc.) - Strong technical judgment and the ability to independently solve complex engineering problems - Excellent communication skills and comfort collaborating across teams and disciplines - Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet - Hands-on experience prototyping with LLMs or agentic systems (evals, fine-tuning, RAG, tool use, orchestration frameworks) - Has the ability to iterate fast, specially in the case where requirements are not clear - Keeps up with emerging AI tooling and models, not just what's already mainstream - Collaborative, detail-oriented, and passionate about building reliable, usable software Bonus Round: - Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines - Experience designing systems or services used by other engineers or teams - Knowledge of any of the following technologies: Tanstack Start, Next.js, FastAPI, React - Experience with model evaluation frameworks, vector databases, or agent orchestration tooling (e.g., LangGraph) - Familiarity with transformer architecture and model internals - Familiarity with containerized applications, Kubernetes, and ability to design CI/CD pipelines Position Expectations: - Design and run experiments that test emerging AI capabilities against real internal use cases, before

As a Senior Solution Architect , you will be responsible for designing and implementing complex software solutions that meet the needs of the organization and its customers. You will work closely with cross-functional teams to understand business requirements and develop solutions that align with organizational goals. You will also provide technical guidance and mentorship to junior architects and engineers. Duties and Responsibilities Lead scoping and discovery sessions with sales and client teams to gain a deep understanding of business requirements Engage with clients to architect solutions that best meet needs including offering best practice recommendations, on-the-fly solution suggestions, and relevant lines of questioning that may not have been prepared in advance of the conversation Create accurate Statements of Work and proposed solutions that encompass all requirements, deliverables, schedules, tasks, and pricing Partner closely with Talkdesk’s product, implementation and sales teams to identify issues, close gaps, and continuously improve SOWs and the SOW process Gain a deep level of product knowledge and partner closely with product and engineering teams to identify product gaps and place new features & products on the roadmap Partner with sales, product, and engineering to help prioritize products and features based on client needs Effectively translate client requirements and program characteristics to internal stakeholders. Ensure the client’s goals align with Talkdesk’s product offering and implementation methodology. Help build out department methodology and tools to improve quality and efficiency Leverage strong technical acumen to identify process improvements and technical solutions Preferred Background 3-5 years of experience in Professional Services or Consulting, or 5 years of IT project management experience in a SaaS business Experience with CX, CCaaS, and/or UCaaS solutions Software implementation or coding experience is a plus Fa

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview The Senior Solutions Architect at is a critical role that bridges the gap between our product team and client-facing teams. You will partner closely with our Go-to-market teams (Sales, Customer Success, etc.) to shape how customers adopt Harvey across use cases, practice groups, and geographies. This role is accountable for translating complex requirements into secure, scalable architectures that deliver clear business outcomes. You will work directly with technical and non-technical stakeholders—from engineering and IT to legal operations, security, and executive sponsors—to align on the right approach. What You'll Do Lead technical discovery, demos, and deep-dive sessions with prospects, engaging stakeholders across engineering, IT, security, business teams, and exec

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 20 million learners and 6,000+ companies , including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role + Responsibilities The Learning Solutions Architect is a customer-facing technical trainer who helps organizations build data and AI capabilities with DataCamp. You’ll deliver engaging live training (virtual and onsite) and create tailored learning materials on the DataCamp platform—think custom courses, projects, certifications and assessments that map to each customer’s roles, tools, and outcomes. You’ll partner with Customer Success, Sales, Product and Content to scope blended learning paths, teach high-impact sessions, and publish reusable, high-quality content that accelerates adoption and measurable skill uplift for some of our most high-value customers. Qualifications Loves to teach. Comfortable spending multiple hours weekly in front of a virtual or onsite classroom. 2+ years in technical training, data science/analytics education, solutions engineering, or similar instructor roles. Broad technical range across AI, Python/SQL/R and Power BI/Tableau; familiarity with Databricks/Snowflake is a plus. Learns new tools quickly; enjoys tailoring content to different personas (analyst, engineer, business user, exec). Strong communicator who can simplify complex topics for technical and non-technical audiences. Detail-oriented and process-driven; delivers sessions and materials with substance. Flexible schedule to support time zones (this is not a 9 to 5); occasional travel for onsite delivery. Some of your key metrics will be: Customer satisfaction: survey, engagement, repeat bookings Profe

MongoDB is the modern database platform and consistently voted the #1 most wanted database , preferred by developers. MongoDB continues to attract the most demanding and innovative companies and development teams in enterprise software. To support this growth, we are expanding our Industry Solutions Team (IST), a flexible, globally distributed organization that helps customers and partners modernize applications and data platforms with MongoDB. As a Forward Deployed Architect in our ISV Practice, you will be the technical design lead for engagements with independent software vendors (ISVs). You will work with ISV development leaders, senior engineers, and Forward Deployed Engineers to design how MongoDB integrates with and extends the partner’s product. This is an application architecture role, not a database administration or database consulting role. You will ensure that the designs implemented by the team are practical, production-ready, and reusable across future partner engagements. Learn more about #LifeAtMongoDB here ! We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What you’ll do at MongoDB Lead technical design for ISV engagements by understanding partner architecture and delivery models, then defining MongoDB data models, access patterns, indexing, and integration approaches for products serving different industries Design MongoDB as a supported platform option alongside Oracle, PostgreSQL, or SQL Server, including persistence abstractions, feature parity, backend-specific behavior, and certification requirements Design coexistence architectures and migration paths, including data flows, synchronization, consistency, application refactoring, dual-run strategies, validation, and controlled cutover Lead design reviews, provide technical direction, and review schemas, queries, indexes, MongoDB-related code, and performance against realistic partner workloads Design solutions across MongoDB Atlas, Enterprise