Machine Learning Jobs in Hyderabad.
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Role: Sr, Software Engineer
Location: Hyderabad, India (Hybrid)
Department: Product Engineering
Reports to: Manager, Software Engineering
About GHX:
GHX (Global Healthcare Exchange) is a leading healthcare technology company on a mission to simplify the business of healthcare and improve patient outcomes. Founded in 2000, GHX has built the GHX Global Network — the world’s largest cloud-based supply chain community connecting healthcare providers, suppliers, distributors, and partners to automate key processes, reduce costs, and increase operational efficiency. Its solutions span electronic trading, procurement automation, inventory and contract management, business intelligence, and data synchronization, helping healthcare organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities.
Website: https://www.ghx.com/
LinkedIn: https://www.linkedin.com/company/ghx/
About the Role
GHX is seeking a Sr Software Engineer with deep technical expertise and a proven track record in designing, developing, and delivering high-quality, scalable software solutions. The Senior Software Engineer will play a pivotal role in the development of technological solutions, contributing to both existing and next-generation applications. The ideal candidate will be proficient in Java and Spring framework, skilled in software design patterns, experienced with AWS cloud services, and adept in CI/CD pipelines, with a passion for leading innovative projects in a collaborative environment.
Duties and Responsibilities
- Develop scalable, secure, and maintainable software systems that align with business needs, creating flexible, reusable, and efficient solutions.
- Maintain a deep understanding of software subsystems, their components, interfaces, and data integrations to ensure seamless functionality and scalability.
- Perform branching updates on the Git repository along with CI/CD responsibilities.
- Collaborate proactively with cross-functional teams to address technical dependencies, review ideas and concerns, and deliver high-quality products.
- Identify root causes of challenges, analyze upstream and downstream impacts, and recommend impactful, broad-reaching solutions while considering corporate strategy and trade-offs.
- Establish and guide best practices for design, development, testing, and Agile workflows, mentoring team members and fostering a collaborative environment.
- Build and maintain strong business relationships to influence decision-making and drive innovative solutions across teams.
Qualifications
- 5+ years of experience in software development.
- BS degree in Computer Science.
- Experience designing and implementing technological solutions using Java and its frameworks (e.g., Spring, Hibernate).
- Proficiency in AWS technologies including EC2, SNS, SQS, S3, SES, Elasticsearch Service, Lambda, etc.
- Expertise in databases such as MongoDB, Elasticsearch, and MySQL.
- Familiarity with front-end technologies such as HTML, CSS, JavaScript, Angular, and TypeScript.
- In-depth knowledge and experience implementing RESTful APIs and web services.
- Experience with Rules Engine and/or event-driven architecture.
- Exposure to design best practices including performance, scalability, robustness, and resiliency.
- Prior experience working in Agile/Scrum environments.
- Ability to work independently and as part of a team on multiple overlapping projects.
- Proven track record of successfully delivering large, complex, cross-functional projects.
- Strong problem-solving, analytical, and communication skills.
Knowledge, Skills, and Abilities
- Develops and implements innovative solutions that challenge the status quo and drive process improvement.
- Communicates complex technical concepts effectively to diverse audiences, including technical and non-technical teams.
- Demonstrates a strong understanding of system-wide impacts and interdependencies across products, teams, and the organization.
- Addresses internal and external customer needs effectively, with the ability to interact directly with customers.
- Ability to work collaboratively in a global team environment.
- Adapts to changing conditions with flexibility and leads others through transitions with clarity and confidence.
- Leads by example, fostering teamwork, trust, and a shared purpose while promoting success and strategic thinking.
- Experience in healthcare or invoicing domains is an added advantage.
- Experience using AI coding tools and AI agents is an advantage, including Python and machine learning experience.
GHX: It's the way you do business in healthcare
Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes.
GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions.
It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce - not shift - the cost of doing business, paving the way to delivering patient care more effectively. Together we take more than a billion dollars out of the cost of delivering healthcare every year. GHX is privately owned, operates in the United States, Canada and Europe, and employs more than 1000 people worldwide. Our corporate headquarters is in Colorado, with additional offices in Europe.
Disclaimer
Global Healthcare Exchange, LLC and its North American subsidiaries (collectively, “GHX”) provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. All qualified applicants will receive consideration for employment without regard to any status protected by applicable law. This EEO policy applies to all terms, conditions, and privileges of employment, including hiring, training and development, promotion, transfer, compensation, benefits, educational assistance, termination, layoffs, social and recreational programs, and retirement.GHX believes that employees should be provided with a working environment which enables each employee to be productive and to work to the best of his or her ability. We do not condone or tolerate an atmosphere of intimidation or harassment based on race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. GHX expects and requires the cooperation of all employees in maintaining a discrimination and harassment-free atmosphere. Improper interference with the ability of GHX’s employees to perform their expected job duties is absolutely not tolerated.
Read our GHX Privacy Policy
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About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for an experienced Staff Machine Learning Engineer to join our Engineering team. This role is based in Hyderabad, reporting to the Senior Director, Engineering. You will be responsible for building and maintaining large-scale distributed systems that power our entire ML pipeline, from data collection to real-time serving. You’ll solve complex real-world business problems by partnering closely with data scientists and product teams to deliver impactful automation and intelligence. You will also help design and build Agentic AI systems—developing and orchestrating specialized agents to automate and scale ZPA segmentation workflows, from signal ingestion and reasoning to policy recommendations and enforcement validation.
What you’ll do (Role Expectations)
- Build and maintain large-scale distributed systems to support the whole pipeline including data collection, feature engineering, model training, model evaluation, model deployment, and real-time serving—including Agentic AI components (agent workflows, orchestration, tool integrations, and real-time agent serving).
- Develop functional specifications, assess task requirements and scheduling, and participate in the development, debug, and support—including designing agent behaviors, evaluation strategies (quality/safety/latency), and rollout/monitoring plans for agent-based systems.
- Solve complex real-world business problems like threat detection and business intelligence by working closely with stakeholders including data scientists, product management, and product engineering teams—including building multi-agent solutions that automate analysis and decisioning (e.g., recommendation, triage, and segmentation/policy workflows).
Who You Are (Success Profile)
- You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
- You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
- You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
- You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
- You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking for (Minimum Qualifications)
- 4+ years of experience as a AI-ML Engineer
- Experience with applying machine learning for improving key business metrics, optimized models for accuracy, latency
- Experience with researching newer techniques, and innovating for building ML based solutions
- Experience with algorithms in building out data collection/processing infrastructure, Machine Learning model training, and serving platforms
- Expertise in leveraging and augmenting LLM models for software development
What Will Make You Stand Out (Preferred Qualifications)
- Proven track record of designing, building and shipping end-end applications at scale
- Experience identifying and solving problems in data using machine learning systems
- Familiarity with multi-agent systems, agent architectures, prompt engineering and SOTA AI frameworks
#LI-Hybrid #LI-AN4
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
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Senior Data Scientist
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Zeta is seeking an experienced Senior Data Scientist to join our Machine Learning team. You will design, build, and scale machine learning solutions that power marketing intelligence, campaign optimization, and business performance.
This role spans the full ML lifecycle — from data engineering and feature development to model deployment and performance monitoring — in a cloud-based, distributed environment.
Reporting / Hours: 1:00 PM – 10:00 PM IST (± 30 minutes flexibility)
Key Responsibilities
Data Engineering & ETL
- Lead the design and development of scalable ETL pipelines across platforms such as Snowflake/Hive, Athena
- Partner with cross-functional teams to optimize data architecture and workflows
Machine Learning & AI Development
- Design, develop, evaluate, and deploy ML/AI models in production environments
- Build scalable ML pipelines for training, validation, deployment, and scoring
- Develop advanced predictive models and recommendation engines
- Optimize model performance through experimentation, feature engineering, and ensemble techniques
- Implement automation frameworks to improve productivity and reproducibility
Cloud & Distributed Systems
- Leverage AWS technologies including EC2, EMR, S3, Airflow, and Athena
- Build and maintain robust workflows in distributed computing environments
Analytics, Reporting & Marketing Automation
- Generate client-facing modeling insights dashboards and performance reports with a strong focus on accuracy, consistency, and explainability
- Support marketing automation initiatives using Python, Snowflake, Apache Superset, and related technologies
Collaboration & Delivery
- Work on multiple concurrent projects in a fast-paced, high-growth environment
- Communicate complex findings clearly to both technical and non-technical stakeholders
- Mentor junior team members and contribute to best practices across the data science function
Required Skills:
- Strong expertise in supervised learning and advanced ML techniques (Random Forest, GBM, regression, neural networks, boosting and bagging methods, ensemble models)
- Proven experience building and productionizing ML pipelines
- Advanced Python proficiency and experience with ML libraries
- Strong data preparation and feature engineering skills
- Experience with Snowflake and distributed data systems
- Working knowledge of Unix and shell scripting
- Strong analytical thinking, attention to detail, and communication skills
Qualifications:
- MSc/MS in a quantitative field with 4+ years of experience
or
- BSc with 7+ years of relevant experience
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
ZETA IN THE NEWS!
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Apply to Zeta GlobalAssociate Solutions Consultant
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Associate Solutions Consultant
Responsibilities:
- Participate in the creation and delivery of customer presentations (Pitches, QBR’s, etc.) as well as and leading the client-facing demos of the Opportunity Explorer.
- Develop effective multichannel marketing playbooks with detailed capabilities, targeting, media tactics, measurement, and other executional guidance to support account growth and new business development
- Seek to understand the Client’s business problems and be a trusted strategic advisor to internal teams by drawing upon the full scope of Zeta marketing services, strategic and analytic consulting expertise, data and technology to solve clients' core business challenges.
- Have strong working knowledge of cross-functional team across Account Management, Analytics, Traders, Pricing Team, Email Team, Legal Team, Creative Team, Addressability Team, Data Cloud Team, Supply Team, and external vendors to manage engagement and escalations specific to opportunities
- Manage, process and coordinate the on-time delivery of winning client proposals addressing advertiser campaign goals.
- Develop and utilize proposal library to institutionalize and draw on insights from previous campaigns.
- Act as a trusted product and technology expert for the sales force and Zeta clients and prospects.
- Provide guidance to sales representatives and clients into the design and successful campaigns across digital media, social networks, email, video and mobile that will perform based on advertiser objectives.
- Participate in face to face client meetings and presentations as required.
- Communicate valuable market feedback back to the rest of the organization.
- Recommend appropriate site lists, audience segments using internal and external data sources based on campaign requirements.
- Support the development of new proposal materials covering new products and solutions for sales training and client presentations.
- Maintain and improve proposal quality, business standards, processes and systems.
- Use experience with a variety of advertising categories and understanding of what data and inventory work for advertisers.
- Use understanding of online ad campaign metrics and analysis, online advertising industry trends, technologies and pricing models (CPM, CPC and CPA).
- Use strong skills in working with Excel PowerPoint, SQL, and Tableau
- Use experience with Salesforce.com (or other CRM software).
- Support global sales team and respond to customer requests such as RFIs and RFPs.
Company Summary
Zeta is a data-driven marketing technology innovator whose SaaS-based marketing cloud helps 500+ Fortune 1000 and Middle Market brands acquire, retain and grow customer relationships through actionable data, advanced analytics and machine learning.
Founded by David A. Steinberg and John Sculley (former CEO of Apple and Pepsi-Cola) in 2007, the company's highly-rated ZetaHub technology platform has been recognized in Gartner's Magic Quadrant for Digital Marketing Hubs (February 2017) and in its Magic Quadrant for Multichannel Campaign Management (April 2017), competing with offerings from Oracle, IBM, Salesforce and Adobe.
Operating on four continents with 1,300+ employees, the company is headquartered in New York City, with Centers of Excellence in Silicon Valley, Boston, London, and Hyderabad, India.
Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veteran’s status, or any other basis protected by law.
Recent News
Zeta Global Recognized by The Relevancy Group as Industry Leader for the 4th Consecutive Year
Zeta Global is Recognized as a Visionary by Gartner for the First Time
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Apply to Zeta GlobalRole - Staff Software Engineer: Industry Assurance Platform
The Problem We’re Solving
Most disaster recovery is a checkbox. What happens when a ransomware attack doesn't just take down one server, but knocks out the entire ecosystem of suppliers and trading partners for weeks? In healthcare, that’s a catastrophe. We are building an industry-wide, high-availability trading platform that steps in when the primary systems fail.
What We Need You to Do
We are seeking a highly skilled and hands-on Staff Software Engineer to provide deep technical leadership within our engineering organization. This role is intended for senior technologists who excel at solving complex engineering problems, driving architectural excellence, and elevating the technical capabilities of the broader team.
The Staff Engineer operates as a senior individual contributor who influences technical direction, mentors engineers, and collaborates cross-functionally to deliver scalable, reliable, and high-quality software solutions. This role does not include direct people management responsibilities but carries significant technical ownership and organizational impact.
Key Responsibilities
· Technical Leadership – Design and implement scalable, secure and hig-performance software system; Lead complex technical initiatives spanning multiple teams or systems
· Hands-on Development – Contribute actively to codebase through design, development, code reviews and performance optimizations; Champion modern practices including automation, observability and resiliency
· Mentorship – Promote high standards in coding, testing, documentation and system design; develop technical talent by sharing knowledge
· Cross-functional collaboration – Partner closely with Product Management, Marketing, Operations and other stakeholders to translate business needs to technical solutions; Communicate complex technical concepts to non-technical audience
· Execution & Delivery – Provide leadership during planning, estimation & execution phases
Required Qualifications
· Bachelor’s degree in Computer science, Engineering or equivalent
· 8-10 years of experience in designing and building distributed software systems using Microsoft tech stack (.Net, C# )
· Experience in cloud services Azure/AWS Lambda, SQS, API Gateway, ECS etc.
· Hands-on experience with messaging systems like Kafka or Azure Service Bus
· Knowledge of Entity Framework, LINQ, PostgreSQL, MongoDB
· Implementing responsive UI using HTML5, CSS3, Angular
· Implementing CI/CD pipelines using Azure DevOps, GitHub Actions. Knowledge of Containerization and orchestration tools
· Implement testing strategies using unit, integration and API testing
Preferred Skills
· Multi-Cloud & Serverless Experience: Familiarity deploying applications on Azure & AWS specific services like Lambda and Step Functions (for hybrid-cloud orchestration)
· Leverage AI-powered tools - GitHub Copilot/Claude Code/Cursor - to accelerate delivery
· Exposure to AI/ML integration for predictive analytics
Impact of the role
Success in this role will be measured by technical outcomes — improved system scalability and stability, stronger engineering practices, accelerated delivery through mentorship, and effective collaboration across organizational boundaries.
GHX: It's the way you do business in healthcare
Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency and accuracy of business processes.
GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world class cloud-based supply chain technology exchange platform, solutions, analytics and services. We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions.
It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce - not shift - the cost of doing business, paving the way to delivering patient care more effectively. Together we take more than a billion dollars out of the cost of delivering healthcare every year. GHX is privately owned, operates in the United States, Canada and Europe, and employs more than 1000 people worldwide. Our corporate headquarters is in Colorado, with additional offices in Europe.
Disclaimer
Global Healthcare Exchange, LLC and its North American subsidiaries (collectively, “GHX”) provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. All qualified applicants will receive consideration for employment without regard to any status protected by applicable law. This EEO policy applies to all terms, conditions, and privileges of employment, including hiring, training and development, promotion, transfer, compensation, benefits, educational assistance, termination, layoffs, social and recreational programs, and retirement.GHX believes that employees should be provided with a working environment which enables each employee to be productive and to work to the best of his or her ability. We do not condone or tolerate an atmosphere of intimidation or harassment based on race, color, national origin, sex, sexual orientation, gender identity, religion, age, genetic information, disability, veteran status or any other status protected by applicable law. GHX expects and requires the cooperation of all employees in maintaining a discrimination and harassment-free atmosphere. Improper interference with the ability of GHX’s employees to perform their expected job duties is absolutely not tolerated.
Read our GHX Privacy Policy
Ready to apply?
Apply to GHX
Data Science Manager
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Opportunity Overview:
We are seeking a Technical, Hands-on Manager to lead a team in building AI-driven healthcare enterprise applications. In this role, you will combine strong people leadership with deep technical expertise to guide the development of scalable, data-intensive solutions that drive meaningful business impact.
As a leader who is still technically involved, you will mentor and manage data scientists and analysts while having the ability to guide the team through evaluating, selecting, and implementing the right models, paired with an understanding of end to end workflow and ensure the delivery of scalable AI solutions.
This position requires excellent communication and collaboration skills as you partner closely with internal stakeholders and cross‑functional engineering, product, and clinical teams. In our fast-paced environment, adaptability is key—your ability to reprioritize quickly and lead your team through evolving business needs will ensure maximum impact
What you’ll do:
- Lead, mentor, and develop a high‑performing team of Data Scientists and ML Engineers, ensuring strong execution and continuous skill advancement.
- Contribute to event‑driven architecture design and implementation, enabling asynchronous processing and large‑scale system integration.
- Work seamlessly across functions—partnering with Data Scientists on model tuning, experimentation, and prompt design; collaborating with Product and Software Engineering to embed AI/ML into user-facing applications; engaging with DevOps/Platform Engineering on environment setup, CI/CD, monitoring, and reliability; and working with Data Engineering on pipeline design and ingestion strategies.
- Provide technical leadership in the effective use of AWS services such as Lambda, EC2, EMR, S3, Athena, Batch, Textract, Comprehend, Bedrock.
- Drive the implementation of project scope definition, effort estimation, and planning in close coordination with cross-functional teams.
- Conduct code reviews, provide architectural direction, and champion SDLC best practices, while balancing leadership responsibilities with hands‑on technical contributions to ensure timely, high‑quality delivery.
Required Qualifications:
- 7+ years of overall professional experience delivering data-driven AI/ML-focused solutions. 3+ years of direct team management experience, leading Data Scientists, ML Engineers, or similar technical roles.
- Hands-on experience in Python with strong proficiency in libraries such as Pandas, NumPy, SciPy, Matplotlib, and regular expressions. Advanced SQL querying and optimization for large datasets.
- Practical experience in training, tuning, and testing ML algorithms (e.g., SVM, CART, Bagging, Boosting) and text mining techniques; familiarity with modern ML/DL approaches.
- Experience with prompt engineering and leveraging GenAI for classification, data enrichment, semantic embeddings, and innovative AI-driven solutions.
- Experiment and rapidly prototype design frameworks, validate hypotheses efficiently, and iterate on AI/ML models to support fast-paced development.
- Strong knowledge of Object-Oriented Programming (OOP) and experience creating custom Python packages for serverless applications.
- Hands-on experience with AWS services including Lambda, EC2, EMR, S3, Athena, Batch, Textract, and Comprehend.
- Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring smooth integration of AI/ML capabilities into production systems
- Excellent communication and storytelling skills, capable of translating complex AI/ML concepts into clear, actionable insights for leadership, stakeholders, and non-technical partners.
- Ownership mindset with end‑to‑end accountability, ensuring delivery from concept to deployment to monitoring—while continuously identifying risks, blockers, and opportunities for improvement.
Good to have:
- Background in healthcare payment integrity, clinical data workflows, or payer/provider analytics.
- Strong thought leadership in AI/ML, including guiding stakeholders on feasibility, risk, architecture, and adoption strategy.
- Prior experience in deploying LLM‑powered production features,optimize prompting strategies, transforming experimental prototypes into robust, scalable services delivered through well‑defined APIs.
- Familiarity with compliance, governance, and security best practices for healthcare data (HIPAA, PHI handling, logging, auditing).
Ability to commute/relocate:
- Nacharam, Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)
Interview Process*:
- Connect with the Hiring Manager for a Preliminary Phone Screening
- Behavioral Interview(s)
- Case Study
- Interview with Senior Leadership
*Subject to change
About Cohere Health:
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
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Lead Solution Engineer - Corp Tech
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Company Overview
Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world’s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow’s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes.
Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development.
We are looking for a Solutions Engineer – Lead Engineer to join our Corporate Technology team. As a Solutions Engineer, you will be expected to leverage your extensive experience and technical expertise to design, implement, and optimize Windows-based solutions in enterprise environments.
What You'll Do:
- Architectural Design: Lead the design and development of complex solutions, ensuring alignment with business objectives and architectural principles.
- AI observability for platforms and assistants. Instrument agents and automations with metrics for accuracy, drift, latency, containment, and user satisfaction; wire dashboards (Grafana/ELK) and feedback loops into CI/CD so models and prompts improve continuously—consistent with the JD’s observability focus
- Technical Leadership: Provide guidance and mentorship to engineering teams in the implementation of Windows-based solutions, ensuring best practices and adherence to industry standards.
- Solution Development: Collaborate with cross-functional teams to translate business requirements into scalable and secure Windows architectures, integrating with existing systems and technologies.
- Technology Evaluation: Research and evaluate emerging technologies and tools, recommending innovative solutions to enhance system performance, reliability, and security.
- Risk Management: Identify and mitigate risks associated with Windows-based solutions, ensuring compliance with regulatory requirements and security standards.
- Troubleshooting and Optimization: Investigate and resolve complex technical issues related to Windows infrastructure, optimizing performance, and minimizing downtime.
- Automation and DevOps: Knowledge of Gitops, Scripting and automation would be an essential part of the role. Knowledge of writing automations in either PowerShell/Python would be a mandatory requirement for this role.
What You’ll Need:
- 6+ years architecting and implementing enterprise infrastructure solutions with a proven track record of designing scalable, resilient, and secure systems including integration with Windows and cloud platforms.
- Expertise in Windows Server, Active Directory, Microsoft Azure/AWS virtualization (EC2, Azure VMs, Azure Virtual Desktop), and Microsoft Defender. Knowledge of macOS integration with enterprise identity platforms (Active Directory, Azure AD, Okta), including single sign-on (SSO) and federated authentication. Ability to design and optimize multi-platform architectures (Windows, macOS, Linux) for scalability, resilience, and security.
- Proficiency with Microsoft Intune for endpoint management (MDM/MAM) and understanding of hybrid architecture and cloud shared responsibility model. Proficiency in macOS device management using tools such as Jamf Pro, Kandji, or Apple Business Manager, including MDM/MAM strategies for hybrid and multi-platform environments. Experience with automation and scripting on macOS (e.g., Bash, Zsh, AppleScript, Python), enabling workflow optimization and cross-platform orchestration
- Strong troubleshooting skills for macOS infrastructure, including performance optimization, incident response, and root cause analysis.
- PowerShell and Python coding/scripting capabilities for automation and workflow development
- Experience with GitOps, CI/CD pipelines, and Infrastructure as Code (Terraform, Ansible, ARM templates)
- Proficiency in cloud-native and multi-cloud architectures (Kubernetes, Docker, serverless)
- Familiarity with observability and monitoring platforms (Prometheus, Grafana, ELK stack) and AI-driven automation
- Familiarity with Exchange Online, SharePoint, Microsoft Power Platform would be a plus
- Experience implementing zero trust solutions (Zscaler, CrowdStrike) would be a plus
- Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert, MCSE: Core Infrastructure, or AWS Solutions Architect would be a plus
- Good to have exposure with AI/ML integration, data analytics, and automation in enterprise environments.
Arcesium's Personal Data Privacy Notice for Candidates is linked here.
Recruiting Security
Emails from genuine Arcesium recruiters who are employees of the company will always come from the @arcesium.com domain. In some cases, you may also be contacted by independent search firms engaged to recruit on our behalf; emails from their employees should always come from their firm's applicable domain. We'll never ask for your banking information or any payment as part of the recruiting process. If something seems off or you're contacted by an unexpected third party, please reach out to us at careers@arcesium.com (US/UK) or careers-india@arcesium.com (India).
Arcesium is an equal opportunity employer.
Ready to apply?
Apply to Arcesium LLC
As a Staff Data Scientist, you will act as a senior technical leader and trusted advisor across multiple teams. You’ll guide stakeholders through the complexity of modern AI systems, with a particular focus on agentic AI architectures (including LangGraph, LangFuse, and related tooling), as well as broader machine‑learning strategy. This role blends deep technical expertise, consultative problem‑solving, and cross‑functional leadership.
You will often support several initiatives simultaneously, helping teams understand feasibility, scope, and risk while shaping high‑impact AI solutions that align with business needs. You’ll also mentor junior colleagues, elevate data‑science practices, and contribute hands‑on to the development of production‑grade AI systems.
What you'll do:
AI Consulting & Advisory
- Partner with product, engineering, and business teams to translate ambiguous problems into clear AI opportunities.
- Provide expert guidance on agentic AI, including workflow orchestration, evaluation, observability, and safety.
- Assess the complexity, feasibility, and expected value of proposed AI initiatives, helping teams prioritise effectively.
- Communicate trade‑offs, risks, and solution paths to both technical and non‑technical audiences.
AI & ML Solution Design
- Architect end‑to‑end AI systems that solve real business problems, from early discovery through deployment.
- Design agent‑based workflows, retrieval‑augmented pipelines, and ML‑powered automation.
- Define evaluation strategies, data requirements, and success metrics for AI features and products.
- Collaborate with engineering teams to ensure solutions are scalable, maintainable, and aligned with platform strategy.
Hands‑On Technical Work
- Build prototypes, proof‑of‑concepts, and production‑ready components using Python, modern AI frameworks, and cloud tooling.
- Develop and refine agentic AI workflows using LangGraph, LangChain, LangFuse, or similar frameworks.
- Implement machine‑learning models, retrieval systems, and data pipelines where needed.
- Contribute to internal libraries, tooling, and best practices for AI development.
Leadership & Mentorship
- Mentor junior and mid‑level data scientists, providing guidance on modelling, experimentation, and system design.
- Lead technical discussions, design reviews, and cross‑team collaboration sessions.
- Champion high standards for code quality, documentation, and reproducibility.
- Help shape the long‑term AI strategy and technical roadmap, through your technical knowledge on the art of the possible, and the business problems our clients face.
What you'll bring:
- Extensive experience in data science, machine learning, or applied AI, including hands‑on coding in Python and common data science libraries, such as Numpy, Scipy, Pandas, SKlearn, Spacy.
- Ability with prototyping frameworks such as Dash.
- Good working understanding of code version control with Git.
- Experience with big data tools, such as: Spark, Dask, or alternatives.
- Strong understanding of agentic AI, orchestration frameworks, and LLM‑based system design.
- Ability to evaluate project complexity, identify risks, and guide teams toward pragmatic solutions.
- Experience designing and delivering AI systems in production environments.
- Excellent communication skills and the ability to influence beyond your immediate team.
- Great mentoring skills.
- Comfort working across multiple projects and shifting priorities.
Nice to Have
- Experience with observability and evaluation tools such as LangFuse, Weights & Biases, or similar.
- Familiarity with agentic evals and prompt‑engineering patterns.
- Background in consulting, technical advisory, or cross‑functional leadership roles.
- Experience with cloud platforms (AWS, GCP, Azure) and modern MLOps practices.
Ready to apply?
Apply to Cision
Job Summary
As a Data Scientist, you will work within a cross-functional agile team contributing to the company's growth in a fast-moving environment. You will develop new tools and features by working closely with engineers, product managers, designers, and engineers. Ultimately, the goal is to help our users make smarter decisions. On top of that, you’ll have the support of a diverse, large team of data scientists working across all Brandwatch products to support your technical and career development. This role is open to people with a variety of professional and academic backgrounds and you can expect to develop your skills in a wide variety of techniques, including machine learning, statistical modelling, and computational linguistics.
Essential Duties and Responsibilities
Work with stakeholders to clarity and refine questions.
Collect, clean, and prepare data, generally this will be large volumes of text along with metadata and will often need to be handled with big data tools.
Build models to solve a range of different problems, such as text classification and clustering, automated insight generation, and time series analysis.
Develop evaluation methodologies, which will vary from those based around conventional classification metrics (such as precision and recall), to designing methods to evaluate how well your tool helps a user achieve a defined task.
Support engineers as your projects are shipped. Sometimes you will also help maintain and upgrade the tools and technologies you develop.
Perform other duties as required to support evolving business needs.
Minimum Required Qualifications
A good working knowledge of Python (or another modern programming language, with willingness to learn Python).
A solid understanding of statistics and/or machine learning.
Enjoy an experimental and iterative approach to building products.
An ability to communicate with non-technical stakeholders, or willingness to skill up in this area.
Preferred Qualifications
Working in a data science team.
Common data science libraries, such as Numpy, Scipy, Pandas, SKlearn, Spacy.
Big data tools, such as: Spark, Dask, MapReduce, or alternatives.
Cloud computing, for example: AWS EC2, S3.
Linux style shell commands.
Application prototyping frameworks such as Dash, or Shiny.
Ready to apply?
Apply to Cision
Life at Plume
At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale.
We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data.
With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.
This is a work-from-office / In-Office role based in our Hyderabad, India location.
We are looking for a Senior Software Engineer to join our team and work on the development of our SaaS product. In this role, you will lead the development of new features, improve system architecture, and ensure the scalability and reliability of our cloud-based software. You will collaborate with cross-functional teams to deliver high-quality software and contribute to the continuous improvement of the product.
Key Responsibilities:
- Architect and Design Software Solutions: Contribute towards design and architecture of new features for our SaaS product. Ensure that solutions are scalable, maintainable, and meet customer needs.
- Develop & Implement Features: Build and maintain robust and high-performing software solutions for our SaaS platform, writing clean, efficient, and testable code.
- Collaborate with Cross-Functional Teams: Work closely with product managers, designers, and other engineers to define and implement product features, ensuring that business requirements and customer needs are met.
- Optimize and Scale: Continuously improve application performance and scalability, focusing on optimizing cloud-based resources and database performance.
- Maintain Code Quality: Write unit and integration tests, conduct code reviews, and ensure adherence to coding standards. Participate in code reviews and provide feedback on engineering best practices.
- Mentorship: Provide technical leadership and mentorship to junior engineers, helping them grow their skills and achieve their career goals.
- Troubleshoot and Debug: Investigate and resolve software issues, working with the support team to fix bugs and improve the overall user experience.
- Security & Compliance: Ensure the SaaS product complies with security best practices and regulatory standards. Implement security features to protect user data and sensitive information.
- Continuous Improvement: Stay up to date with the latest technologies and industry trends, and incorporate modern practices into the development process. Participate in the iterative process of refining and evolving the product.
- Documentation: Produce clear technical documentation to support the development, deployment, and maintenance of software systems.
Required Skills and Qualifications:
- Bachelor's Degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
- Proven Experience: At least 8+ years of professional experience in software development, with significant experience working on SaaS products or cloud-based platforms.
- Programming Languages: Strong proficiency in languages commonly used for SaaS development (e.g., Golang, JavaScript, TypeScript, Python, Scala, Java).
- Cloud Platforms: Experience working with cloud platforms such as AWS, or Google Cloud, and an understanding of cloud architecture, microservices, and containerization..
- Database Management: Strong knowledge of relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB) and experience with database optimization.
- DevOps and CI/CD: Hands-on experience with CI/CD pipelines, containerization (Docker), and orchestration tools (e.g., Kubernetes).
- Agile Methodologies: Familiarity with Agile development processes and tools (e.g., Jira, GitHub).
- Version Control: Proficiency with version control tools like Git.
- Problem Solving: Excellent analytical and problem-solving skills, with a focus on delivering high-quality solutions.
- Communication: Strong written and verbal communication skills. Ability to communicate complex technical concepts to non-technical stakeholders.
Preferred Skills:
- SaaS Experience: Experience building, maintaining, and scaling SaaS applications, particularly in high-availability and high-traffic environments.
- Microservices Architecture: Familiarity with microservices architecture and cloud-native application patterns.
- Test Automation: Experience with test automation frameworks and practices.
- Security: Understanding of web application security, data encryption, and secure coding practices.
- Leadership: Previous experience mentoring or leading engineering teams.
About Plume
As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world’s largest such as Comcast, Charter, Liberty Global, and J:COM.
Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume’s software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture.
Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.
Ready to apply?
Apply to Plume
Life at Plume
At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale.
We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data.
With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.
Plume develops and deploys cloud based control planes with scale to manage tens of millions of customer homes through some of the world’s largest Internet Service Providers. Our cloud applications include WiFi network management and optimization, device access control, network provisioning, IoT security, and end customer user interaction through mobile apps.
The Opportunity:
Plume is hiring a security engineer to join the security engineering team to help protect and drive the Plume mission. As a highly visible and dynamic organization, we must value and guard against damage to our internal information, our platforms, and our reputation and brand. Finally, it is paramount that we defend against loss of control or confidence in our systems, to guarantee the highest probability of success.
As a Sr. Security Engineer, you will focus on the technologies that ensure our networks and systems are up to industry and Plume security standards. This role will partner with various application development and stakeholder groups across Plume to ensure that the technologies and systems we build in-house or purchase and deploy in-house are designed and maintained in a secure way that minimizes risk.
What you will do:
- Drive delivery of innovative security and privacy preserving solutions tightly integrated into our software development, data engineering and business intelligence lifecycle.
- Build tools and processes which measure and assist engineering teams to create software with security and privacy by design principles
- Develops security policies, procedures, and guidelines and recommends necessary changes to a given project team to ensure the company’s systems are fully compliant with all applicable regulatory requirements and privacy laws.
- Serving as an advisor to engineering and development teams in security best practices and design.
- Leads security-related projects from inception to successful completion and is capable of effectively coaching technology staff on appropriate security protocols and needs as they implement new technology into the organisation.
- Cloud deployments require security policy enforcement, centralized configuration management, monitoring, etc.
- Serve as the subject matter expert (SME) for security solutions, maintaining documentation on them and advising others on their underlying technologies and operation.
- Work with security and IT teams to identify threats and problem areas and create stronger and safer software and application deployments across Plume, measuring decreased risk and prevalence of issues.
- Prepare security assessment reports, including third-party background, security assessment scope, and results
Who you are:
- Bachelor's degree in Information Security, Computer Science or related field or equivalent work experience
- 5+ years of professional experience in security engineering with a education in security engineering, cyber security, computer science, engineering, math, or other STEM discipline;
- Experience with software coding in Python, Shell, Go, Javascript, and/or ability to understand code/APIs for SaaS products.
- You know industry best practices for security and privacy by design, such as secure software principles, threat modelling, and pentesting.
- Knowledge of public cloud architectures, such as AWS, cryptography, and cryptographic best practices.
- Strong communication, written, presentation and interpersonal skills
- Proven ability to work unsupervised, exercise leadership, and influence change.
- You operate effectively across teams and disciplines even in highly ambiguous situations with a rack record of getting things done quickly and with quality
- Experience with security framework policies, processes and controls; such as: ISO27001, ISO27701, SOC2, NIST CSF, CIS, is a plus
- Certifications such as CISSP, AWS, CIPP, CIPPT, etc is a plus
About Plume
As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world’s largest such as Comcast, Charter, Liberty Global, and J:COM.
Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume’s software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture.
Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.
Ready to apply?
Apply to Plume
Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Truveta was born in the Pacific Northwest in the USA and has employees who live across the country. As we expand our global footprint with a new presence in Hyderabad, India, we’re building a world-class team to help us scale this mission and Clinical Intelligence and AI Evaluation is at the heart of everything we do. This job requires daily onsite work at our headquarters in Hyderabad, India.
Who We Need
Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.
This Opportunity
At Truveta, we believe that high data quality will play a critical role in accomplishing our mission towards saving lives with data. An important component of this work is data normalization in which the medical terminology linking, and terminology management are essential in building deep intelligence empowering the new generation of clinical research.
We are looking for a full-time Clinical Terminologist who will help to standardize the data sourced from different health systems. The responsibilities include identifying, creating, or validating mapping between medical terms from various healthcare system to standardized Terminologies and extending them.
Key Qualifications
- Education in Medicine or related fields (Nursing, Pharmacy, Clinical laboratory science, Medical Informatics, Medical Research, medical coding, etc.)
- 2+ years of experience in the field.
- 1+ year of practical application in clinical terminologies: SNOMED CT, RxNorm, LOINC
- One of the following but not limited to these certifications:
o Certified Professional Coder (CPC) – AAPC,
o Certified Coding Specialist (CCS) – AHIMA,
o Certified Coding Associate (CCA) – AHIMA,
o Registered Health Information Technician (RHIT),
o Registered Health Information Administrator (RHIA),
o Certified Outpatient Coder (COC),
o Certified Inpatient Coder (CIC),
o Certified Coding Specialist (CCS),
o Certified Coding Specialist – Physician (CCS-P)
- Understanding of Electronic Medical Records, including but not limited to reading medical charts, medication lists, lab reports, SOAP notes, procedure notes, etc.
- Understanding of vast medical terms and frequently used abbreviations.
- Ability to provide subject matter expertise in one or more areas within data management.
- Effective communication skills, project management with minimal supervision
- Cross-functional team collaboration (engineering, project manager, modeling team) to deliver constant improvement in data pipeline.
- Actively participate in efforts to enhance data management process as needed.
- Develop and maintain project documentation.
- Perform data checks and edits to ensure quality.
- Comprehension of guidelines to maintain effective data standards.
- Basic computer skills including Microsoft Office Products (Outlook, Excel, Word).
Preferred Qualifications
· Experience in clinical terminology mapping using SNOMED CT, LOINC and RxNorm.
· Experience in annotating training data for machine learning models
Why Truveta?
Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. We are expanding our global footprint. Join us as we build an amazing company together.
Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude people from some sections, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.
Ready to apply?
Apply to Truveta
Director, Software Engineering
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Opportunity Overview:
This is a unique opportunity to lead world-class software engineering teams that power Cohere Health’s product innovation and delivery at scale. Our engineering teams operate with a high degree of autonomy, solving complex challenges across the business in close partnership with product and design. In this role, you’ll also oversee data engineering and core platform engineering functions, ensuring the technical foundation supports rapid growth and innovation.
As a member of the leadership team, you’ll work closely with business and AI partners across the globe to co-create solutions and drive the seamless execution of critical initiatives. You’ll foster a culture of innovation, champion Cohere’s values and leadership principles, and apply deep computer science expertise, including algorithms, data structures, and scalable system design to deliver products that transform healthcare.
What you’ll do:
- Recruit and build high-caliber full-stack engineering teams
- Promote a culture where teams feel stimulated by their work and passionate about their role
- Leadership and Management:
- Lead and manage engineering teams, including recruitment, mentorship, and performance evaluation
- Nurture a collaborative and innovative culture within the engineering department
- Develop and implement strategic plans for the engineering department in alignment with the company’s goals
- Ownership and accountability of key engineering metrics of the platform, i.e. quality, availability, response time metrics, time to value, time to build, etc.
- Strategic Planning:
- Contribute to the company’s overall strategy and business planning
- Identify opportunities for technological advancements and innovation
- Develop long-term plans for technology development and deployment
- Product Development:
- Work closely with product management to define product requirements and specifications
- Oversee the design, development, and deployment of products and features
- Recommend applicable technical patterns and solutions that are aligned with architectural guiding principles and standards through a regular cadence of delivery and continuous improvement
- Ensure the scalability, security, and performance of products
- Compliance and Security:
- Ensure compliance with industry standards, regulations, and company policies
- Implement and maintain robust security protocols to protect company data and intellectual property
Required Qualifications:
- 15+ years of experience managing software engineering teams in a fast-paced, agile environment
- 12-15 years experience in designing and operationalizing software products at scale
- High proficiency of both written and verbal English communication
- Bachelor's or Master's degree in Computer Science or a related field or equivalent experience
- Proven track record of delivering high-quality software on time and within budget
- Proven success in growing and managing geographically distributed teams using successful recruiting, employee development, and retention
- Prior experience in B2B enterprise SaaS startup
- Experience with US Healthcare standards and regulations, e.g. FHIR/HL7, HIPAA
- Experience with Payment Integrity (PI), Claims data processing and applied ML in healthcare or life sciences
- Experience building and operating a compliant, secure data lake or lakehouse
- Payer focused health-tech experience strongly preferred
- Design and implement the PHI data access controls
- Ability to partner with business to represent Technology during the client calls.
Nice-to-haves
- Experience in [specific industry/tools] |
- Cloud Native applications (AWS Preferred)
- Multi-tenant/ microservices architecture
- Familiarity with [tools, platforms, or methodologies]
- Agile methodologies
- DevOps and SRE practices knowledge
- Implemented Security by design (Nice-to-have)
- Enabled automation framework for unit, integration and performance testing
- Demonstrated success in (stretch area)
- Building global partnerships and working with global operating model
Ability to commute/relocate:
- Nacharam, Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)
Interview Process*:
- Connect with Talent Acquisition
- Meet with the Hiring Manager
- Behavioral Interview(s)
- Case Study
- Interview with Senior Leadership
*Subject to change
About Cohere Health:
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
Ready to apply?
Apply to Cohere Health
Director, Data & AI
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Opportunity Overview:
We are seeking a Director of Data & AI to join our product development team. In this role, you will lead world-class analytics, data science, and machine learning teams to enable clinical insights and precision AI. You’ll partner closely with product, design, and software engineering to drive the research and development of data-centric solutions.
As a member of the leadership team, you’ll work closely with business and AI partners across the globe to co-create solutions and drive the seamless execution of critical initiatives. You’ll have the opportunity to apply deep analytics and AI expertise to deliver products that transform healthcare. You’ll foster a culture of innovation, champion Cohere’s values and leadership principle, and guide a team of engineers, analysts, and scientists to leverage complex healthcare data and methodologies in a fast-paced, rapidly-evolving landscape answering critical business and clinical questions. By combining modern analytic tools, methodologies, and AI technologies to meet challenging and open-ended business requests, this crucial role molds our analysis and builds data-driven analytics products.
What you’ll do:
- Recruit and build high-caliber machine learning, data science, and business intelligence development team
- Leadership and Management:
- Lead and manage engineering teams, including recruitment, mentorship, and performance evaluation.
- Nurture a collaborative and innovative culture within the team and throughout the organization
- Develop and implement strategic plans for the Data & AI department in alignment with the company’s goals
- Ownership and accountability of key quality and delivery metrics of the Data & AI solutions, including time to value, model accuracy, etc.
- Collaboration and Communication
- Partner with Cohere Health’s US-based Data & AI team and assure consistent technical strategy, aligned roadmaps, and value-centric delivery approaches.
- Collaborate with cross-functional product, clinical, and engineering partners to understand their needs, recommend solution approaches, and develop execution strategies
- Innovation and Delivery
- Oversee the design, development, and deployment of analytic and AI solution developments
- Identify opportunities for technological advancements, applicable technical patterns, and innovation.
- Direct an innovation pipeline from experimentations, to development, to maturation
- Provide technical guidance, managing timeline, and ensuring quality and scalability of deliverables
- Foster a data-driven decision-making culture and prioritize responsible AI
What you’ll need:
Must-haves
- 8+ years of management experience hiring and developing data-centric development teams
- 12+ years of experience in data science and machine learning
- Advanced degree (MS or Ph.D.) in a quantitative field Math, Engineering, Computer Science, Machine Learning
- Proven success in growing and managing geographically distributed teams and fostering multi-functional collaborations
- Track record of translating complex business problems into end-to-end data analytics products with a quantifiable business impact
- Demonstrated success in maturing machine learning prototypes into scalable software
- Experience with US managed care design and operations
Nice-to-haves
- Strong preference for healthcare experience, specifically experience in Utilization Management, Payment Integrity, Risk Adjustment and Quality Measures
- Hands-on experience with large-scale healthcare administrative and clinical data
- Familiarity with healthcare body codesets, terminology and ontology
- Prior experience in B2B enterprise SaaS startup
Ability to commute/relocate:
- Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)
Interview Process*:
- Connect with Talent Acquisition
- Meet with the Hiring Manager
- Behavioral Interview(s)
- Case Study
- Interview with Senior Leadership
*Subject to change
About Cohere Health:
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
Ready to apply?
Apply to Cohere Health
Manager, Product Management
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Opportunity Overview:
We are looking for a dynamic Manager, Product Management to be part of the Clinical Intelligence product area within the Cohere platform and manage a team of Product Analysts, with full accountability from strategy to execution. Ultimately, your work will directly impact the growth and evolution of the Clinical Intelligence that powers all of our products. Reporting locally to the VP, General Manager India, this is a critical role that provides an uncommon opportunity to build new products and capabilities and to scale and evolve existing ones.
You should apply if you are a leader with a product mindset who delivers value to the business by inspiring teams to build and market solutions that really work for users and elegantly solve complex problems. You’ll sit in the center of strategy, design, engineering and operations to drive multiple levels of decisions, from what “north star” metric we should drive towards, to signing off on acceptance criteria on a new feature. You understand the market and the competitive landscape of AI in healthtech and are able to quickly synthesize, develop hypotheses, provide team direction and prioritize requirements for your products.
What you’ll do:
- Leads and mentors a team of Product Analysts, providing guidance, support, and fostering a collaborative, innovative product culture and customer centric product delivery
- Create an inclusive, energetic team environment that unleashes the potential of our people and contributes to the professional development and growth of team members
- Develop and oversees the creation of product roadmaps that outline key initiatives, features, and release timelines
- Collaborates with internal teams and stakeholders to ensure alignment of Clinical Intelligence platform goals with overall company objectives
- Establishes the product vision, strategy and roadmap in alignment with Clinical Intelligence platform goals and objective and deliver results by empowering cross-functional teams
- Take a design-first approach to developing product requirements, including partnering with design/ research, marketing, engineering and other teams to understand and evangelize user needs
- Leads and manages the entire product life cycle from strategic planning to tactical activities, if applicable
- Drives product design for new features and enhancements, plans the rollout, evaluates new opportunities, and creates new proposals aligned with business strategy and present insight to key executivesActs as a primary point of contact for product-related inquiries, providing updates and insights to internal and external stakeholders
- Conducts customer and market research, user feedback, usage, and competitive analysis to identify unmet market needs and complex new product applications
- Oversee the end-to-end product development process, making strategic decisions and solving complex challenges.
What you’ll need:
Must-haves
- 5+ years of experience in Product Management including at least 2 years managing people
- 3+ years working in healthcare and/or HealthTech
- Demonstrated expertise in ML/AI applications to healthcare problems
- Strong interpersonal, presentation, and communication skills
- Product mindset with a proven ability to deliver customer centric solutions
- A successful track record of co-creating seamless experiences in collaboration with stakeholders from customer facing and technology functions spread across the globe
Nice-to-haves
- Bachelor’s or Master’s degree in Computer Science or Engineering
- Experience working with globally distributed teams
Ability to commute/relocate:
- Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)
Interview Process*:
- Connect with Talent Acquisition
- Meet with the Hiring Manager
- Behavioral Interview(s)
- Case Study
- Interview with Senior Leadership
*Subject to change
About Cohere Health:
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
Ready to apply?
Apply to Cohere Health
Manager, Machine Learning & Data Science
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Opportunity Overview
As the Manager, Machine Learning & Data Science, you will play a key role in building and scaling Cohere Health’s AI capabilities in India. You’ll lead a team of machine learning engineers and data scientists focused on developing and deploying models that automate and augment complex clinical and administrative workflows.
This team is responsible for the full lifecycle of applied machine learning and data science—from problem framing and experimentation to production model deployment and ongoing optimization. You’ll work with structured and unstructured healthcare data to generate insights and power intelligent systems that improve prior authorization and broader clinical decision-making.
As a player-coach, you’ll combine hands-on technical contributions with team leadership, helping to establish best practices, mentor team members, and drive high-impact solutions in close partnership with Product, Engineering, Clinical, and Analytics stakeholders. This is an opportunity to shape both the technical direction and team culture within a growing global organization.
What you’ll do:
- Lead, mentor, and develop a team of machine learning engineers and data scientists, fostering a collaborative, high-performance environment
- Act as a hands-on contributor across the ML/DS lifecycle, including data exploration, feature engineering, model development, evaluation, and deployment
- Design, develop, and deploy machine learning models for retrieval, classification, and generative use cases across structured and unstructured data
- Translate complex business and clinical problems into scalable machine learning and data science solutions
- Establish and uphold best practices for experimentation, model validation, performance tracking, and reproducibility
- Partner cross-functionally with Product, Engineering, Clinical, and Analytics teams to align solutions with business priorities
- Guide the development of scalable data science and machine learning systems, including data preprocessing pipelines and production workflows
- Monitor model performance, identify opportunities for improvement, and drive continuous iteration and optimization
- Communicate technical concepts, methodologies, and insights clearly to both technical and non-technical stakeholders
- Contribute to hiring and scaling the team in India, including recruiting, onboarding, and coaching team members
What you’ll need:
Must-haves
- Minimum 8+ years of experience in machine learning, data science, or applied AI roles, of those a minimum 2+ years of experience must be leading technical teams
- Strong hands-on experience building, evaluating, and deploying machine learning models in production
- Solid foundation in statistical methods, experimental design, and model evaluation
- Proficiency in Python and experience with ML frameworks (e.g., PyTorch, scikit-learn)
- Experience working with large, complex datasets (structured and/or unstructured)
- Strong problem-solving skills with the ability to translate business challenges into analytical solutions
- Excellent communication skills, with the ability to present complex concepts clearly to diverse stakeholders
- Experience working in fast-paced, evolving environments
Nice-to-haves
- Experience in healthcare, particularly with payer, provider, or clinical data
- Experience with NLP, deep learning (e.g., transformers), or generative AI (e.g., RAG)
- Familiarity with MLOps practices and production ML systems
- Experience with Spark or large-scale data processing frameworks
- Exposure to cloud platforms (e.g., AWS, SageMaker)
- Experience working in a global or distributed team environment
- Prior experience in a GCC or building teams in India
Interview Process*:
- Connect with Talent Acquisition
- Meet with the Hiring Manager
- Behavioral Interview(s)
- Case Study
- Interview with Senior Leadership
*Subject to change
About Cohere Health:
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
Ready to apply?
Apply to Cohere Health
Manager, Data Analytics
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Opportunity Overview:
We are seeking a Technical, Hands-on Manager to lead a team responsible for building and maintaining high-quality healthcare market datasets and analytics that power internal insights, benchmarking, and external thought leadership.
In this role, you will lead a team of data analysts responsible for the development, quality assurance, and ongoing refresh of market data assets. You will combine strong people leadership with technical expertise in analytics and data science to ensure reliable, scalable data pipelines and actionable insights.
The ideal candidate is both a strong people manager and a hands-on analytics leader who can guide analysts in rigorous data methodology, translate data outputs into meaningful business insights, and partner closely with commercial strategy, product, clinical, and analytics stakeholders.
What you’ll do:
- Lead and develop a team of data analysts responsible for the creation, validation, and ongoing refresh of healthcare market datasets.
- Mentor analysts in data methodology, statistical reasoning, and reproducible analytics practices to ensure consistent and rigorous analysis across the team.
- Establish analytic standards, coding practices, and documentation expectations to ensure all datasets and insights produced by the team are reproducible and scalable.
- Establish and maintain governance processes for market data including versioning, documentation, auditability, and traceability of data sources and methodologies.
- Oversee change-detection logic, ensuring the team systematically identifies and documents additions, removals, and shifts in the market dataset.
- Define and enforce data quality standards across ingestion, transformation, and analysis workflows.
- Collaborate with Data Engineering and Platform teams to ensure the underlying data infrastructure supports scalable ingestion, transformation, and analytics workflows used by the analyst team.
- Translate analytic outputs into business insights, benchmarks, and structured datasets that support product strategy, commercial enablement, and thought leadership initiatives.
- Drive the implementation of project scope definition, effort estimation, and planning in close coordination with cross-functional teams.
- Conduct code reviews and analytics methodology reviews to ensure maintainable, reproducible data workflows and high-quality analytic outputs.
What you’ll need:
Must-haves
- 7+ years of professional experience in data analytics, data science, or quantitative analysis in a production environment.
- Strong proficiency in Python and data analysis libraries (Pandas, NumPy, SciPy, Matplotlib).
- Advanced SQL querying and ability to work with large datasets.
- Strong understanding of statistics, data analysis methods, and pattern detection in complex datasets.
- Experience managing multiple concurrent analytics projects and prioritizing work across a team of analysts.
- Experience designing analytic frameworks or benchmark datasets used by business teams or external stakeholders.
- Experience managing data quality, data governance, and dataset lifecycle management.
- Experience evaluating and applying modern analytics or AI techniques (including LLM-based tools where appropriate) to enrich datasets or accelerate analytic workflows.
- Experiment and rapidly prototype design frameworks and validate hypotheses efficiently.
- Strong software engineering fundamentals including modular Python code, reusable analytic functions, and maintainable data pipelines.
- Familiarity with cloud data platforms (e.g., AWS, GCP, or Azure) and common data services used to store, process, and query large datasets.
- Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring smooth integration of AI/ML capabilities into production systems
- Excellent communication and storytelling skills, capable of translating complex AI/ML concepts into clear, actionable insights for leadership, stakeholders, and non-technical partners.
- Ownership mindset with end‑to‑end accountability, ensuring delivery from concept to deployment to monitoring—while continuously identifying risks, blockers, and opportunities for improvement.
Nice-to-haves
- Background in healthcare payment integrity, clinical data workflows, or payer/provider analytics.
- Thought leadership in analytics-driven market intelligence, benchmarking, or healthcare data insights.
- Experience working with healthcare claims, authorization, or utilization management data.
- Experience producing market intelligence, benchmarking studies, or industry datasets.
- Familiarity with healthcare payer workflows or healthcare analytics environments.
- Familiarity with compliance, governance, and security best practices for healthcare data (HIPAA, PHI handling, logging, auditing).
Ability to commute/relocate:
- Nacharam, Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)
Interview Process*:
- Connect with Talent Acquisition
- Meet with the Hiring Manager
- Behavioral Interview(s)
- Case Study
- Interview with Senior Leadership
*Subject to change
About Cohere Health:
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
Ready to apply?
Apply to Cohere Health
Lead Product Designer
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Opportunity Overview
We are seeking an exceptional Senior Product Designer to join our stellar design team. The ideal candidate for this role is an experienced digital product designer who excels in highly collaborative environments, is proficient in modern design tools (we’re a Figma-first organization), and consistently delivers high-quality experiences in complex problem spaces. You enjoy taking ownership of ambiguous and challenging problems, shaping them into thoughtful and intuitive experiences that make a meaningful difference for users.
As a senior member of our design team, and a founding member of the India design team, you will set a strong foundation for integrating design practices with our engineering team. Your work will have a direct impact on over 700,000 healthcare professionals who use our solutions daily to process more than 12 million prior authorizations annually. You combine deep UX expertise with strong visual craft, applying research insights, interaction patterns, and strategic storytelling to influence decisions and ship value. You know how to navigate constraints, advocate for the user, and collaborate seamlessly with product and engineering from discovery through delivery.
In this role, you will also be a force multiplier for the entire product organization. You will design, maintain, and evolve our design system, ensuring it enhances the efficiency, consistency, quality, and accessibility of experiences across multiple product surfaces. Your work will empower designers, engineers, and product teams to ship value faster and more confidently, reducing friction and enhancing collaboration. You bring strong knowledge of interaction patterns, visual design principles, accessibility standards, and component architecture. You know when to extend the system and when to keep it lean, and you are comfortable negotiating with engineers to maintain design and technical cohesion.
To summarize, this is a hybrid role split between leading and supporting product design across all our products and evolving our design system and design operations globally.
Last but not least, people who succeed here are empathetic teammates who are candid, kind, and caring, embodying our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
What you will do
- Lead end-to-end design for complex product areas—from framing problems through polished delivery and iteration
- Define experience principles, flows, and interaction patterns that provide clarity across cross-functional teams
- Build high-fidelity prototypes to communicate concepts, test usability, and validate solutions
- Craft beautiful, emotionally compelling visual designs that reinforce product strategy and brand expression
- Collaborate closely with product managers, engineers, data teams, and operations to shape the roadmap and deliver measurable impact
- Own and evolve the design system—tokens, components, patterns, documentation, and guardrails—across all Cohere products
- Refine existing components and design new systematic elements that scale across complex workflows, product areas, and user needs
- Partner closely with designers and engineers to ensure components are technically feasible, accessible, resilient, and high-quality
- Participate in and contribute to design critiques—both giving and receiving feedback that raises quality across the team
Must-haves
- 5+ years of experience in software product design, with ownership of end-to-end delivery for multiple products or substantial product areas, with at least part of that time spent working on or heavily with a design system
- Proven ability to operate in complex domains—enterprise, healthcare, fintech, analytics, or similarly data-dense problem spaces
- Familiarity with frontend technologies (Google’s Material Design, React, HTML/CSS, Design Tokens standards) to collaborate effectively with engineers
- Deep expertise in UX best practices, interaction design, and visual design craft
- Experience working with cross-functional agile scrum teams
- Bachelor’s or Master’s degree in Design, HCI, Human Factors, or equivalent experience
- An outstanding portfolio demonstrating clear problem framing, user-centered design processes, design systems work (components, tokens, patterns), and the real impact of your work
- Strong storytelling and communication skills—able to articulate decisions and generate alignment across disciplines and seniority
- Strong conceptual thinking—balancing user needs, product strategy, business goals, and technical constraints
Nice-to-haves
- Experience designing for healthcare and/or AI/ML
- Experience in influencing design system adoption with engineering teams
- Experience with tooling that supports system delivery (Storybook, ZeroHeight, Tokens Studio, DesignDocs, etc.)
- Strength in motion design or micro-interactions
- Experience launching v1 products or building 0→1 experiences
Ability to commute/relocate:
- Hyderabad, Telangana*: Reliably commute or planning to relocate before starting work (Preferred)
Interview Process*:
- Connect with Talent Acquisition
- Meet with the Hiring Manager
- Behavioral Interview(s)
- Case Study
- Interview with Senior Leadership
*Subject to change
About Cohere Health:
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics. Cohere Health works with over 660,000 providers and handles over 12 million prior authorization requests annually. Its responsible AI auto-approves up to 90% of requests for millions of health plan members.
With the acquisition of ZignaAI, we’ve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validate™, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, we’re creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Health’s innovations continue to receive industry wide recognition. We’ve been named to the 2025 Inc. 5000 list and in the Gartner® Hype Cycle™ for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedIn™ Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners, Cohere Health drives more transparent, streamlined healthcare processes, helping patients receive faster, more appropriate care and higher-quality outcomes.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We can’t wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, it’s personal.
Ready to apply?
Apply to Cohere Health
Life at Plume
At Plume, we believe that technology isn't about moving faster, it's about making life’s moments better. Which is why we’ve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at massive scale.
We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data.
With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.
Job Summary
Seeking an experienced, energetic and collaborative Engineering Program Manager to define and drive product success for our cloud based service platform.
They will be able to lead multiple simultaneous projects or programs that are complex and are able to develop recovery strategies for those that stray from their plan while being part of the collaborative, and fun loving team at a rapidly growing organization.
Plume develops and deploys cloud based control planes with scale to manage 10’s of millions of customer homes through some of the world’s largest ISPs. Plume cloud applications include WiFi network management and optimization, device access control, network provisioning and end customer user interaction through mobile apps. Our focus is on the home market and we support B2B and B2C product offerings.
Responsibilities
- Design, build and maintain the project plan including scope, schedule and risk management
- Drive execution and demonstrate end to end ownership of complex, technical programs to successful completion
- Drive deep collaboration across a network of critical dependencies
- Identify and resolve conflicts, inter-dependencies and program issues quickly and efficiently
- Lead cross functional project meetings and milestone reviews
- Deliver executive communication and drive the decision-making process
- Manage stakeholder and team communications and updates
- Develop roadmaps and development milestones for projects based on input from Product teams
- Monitor progress to plan and design a recovery strategy if project deviates from baseline plan
Minimum Qualifications
- BS degree (or relevant/industry standard experience to match) with 10+ years of experience
- Experience working in rapidly growing organizations
- Must have strong technical background and Hands on experience in software development. Strong preference for candidate transitioned from lead development into Program Management
- Lead end-to-end program execution for initiatives such as feature development, interoperability, performance optimization, certification. working closely with firmware, driver, hardware, QA, and product teams to ensure timely and high-quality delivery.
- Must have prior experience working in the Wi-Fi domain and be able to understand and engage in technical discussions related to Wi-Fi protocols, features, performance issues, and firmware architecture. Ability to work closely with firmware teams on architecture, release planning, dependency management, defect triage, and risk mitigation is essential.
- Able to think strategically and tactically and to build consensus to make programs successful
- Demonstrable ability to think outside the box to resolve technical issues and resource conflicts
- Thorough knowledge of software engineering principles and agile methodologies
- 5+ years’ experience managing fast-paced agile software projects with aggressive schedules
- Ability to quickly pick up new technologies and industry trends
- Outstanding critical thinking and problem-solving skills and passion to solve hard problems
- Excellent leadership and communication skills
About Plume
As the creator of the only open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers, Plume partners with over 400 ISP customers, including some of the world’s largest such as Comcast, Charter, Liberty Global, and J:COM.
Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plume’s software-defined network allows ISPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture.
Plume is an equal opportunity workplace that maintains a continuing policy of nondiscrimination in all employment practices and decisions, ensuring equal employment opportunities for all qualified individuals without regard to race, color, creed, religion, sex, national origin, age, physical or mental disability, sexual orientation, gender identity, marital status, pregnancy, childbirth or related individual conditions, medical conditions (as defined by state law), military or veteran status, or any other characteristic protected by federal, state or local law.
Ready to apply?
Apply to Plume
About the Company
At Redpin, we simplify life’s most important payments. Buying a property overseas can be stressful—especially when it comes to moving money. Through our Currencies Direct and TorFX brands, we’ve been helping customers do exactly that for over 25 years.
With recent investment, we are building a new generation of digital products and services that make international real estate payments simpler, faster, and more transparent.
As part of Redpin 2.0, we are transforming from a horizontal FX platform into a verticalized, embedded software company, positioning ourselves as the global solution for real estate payments.
About the Role
At Redpin, this role is not just about managing infrastructure — it’s about building intelligent, scalable, and developer-first platforms that power our next-generation digital products.
As a Senior Software Engineer – DevOps, you will play a hands-on role in designing, building, and operating cloud-native infrastructure and DevOps platforms, with a strong emphasis on automation, reliability, security, and cost efficiency.
We are looking for a DevOps Engineer with exposure to AI/ML or Generative AI use cases, who can help us embed intelligence into our engineering ecosystem — from pipelines to observability and platform operations.
What You'll Do
AI / ML / GenAI
- Hands-on experience with platforms such as OpenAI, Bedrock, or Vertex AI
- Strong understanding of prompt engineering and AI API integrations
- Solid foundation in machine learning concepts and LLM architectures
Cloud Infrastructure (AWS)
- Design and implement AI-powered automation solutions for DevOps and platform engineering use cases
- Build and integrate AI agents to enhance developer productivity
- Develop and maintain CI/CD pipelines with AI-assisted workflows
- Design, provision, and operate secure, scalable AWS infrastructure
- Work across compute, networking, storage, and IAM
- Support multi-account AWS environments and apply governance guardrails
- Implement Infrastructure as Code (IaC) using Terraform and/or CloudFormation
- Troubleshoot and resolve cloud infrastructure issues
CI/CD & DevOps Automation
- Build, maintain, and optimize CI/CD pipelines for application and microservices teams (preferably using GitLab or GitHub)
- Automate build, test, security scanning, and deployments
- Implement deployment strategies such as blue-green, canary, and rolling deployments
- Improve pipeline performance, stability, and developer experience
Cloud Security & Governance (Execution Focus)
- Implement AWS security best practices including IAM, VPC security, encryption, and secrets management
- Enforce tagging standards, access controls, and policy guardrails
- Integrate security scanning (SAST, DAST, container scanning) into CI/CD pipelines
- Support audit and compliance requirements
Reliability & Observability
- Implement and manage monitoring, logging, and alerting solutions
- Build dashboards for system health, availability, and performance
- Improve system reliability through automation and proactive monitoring
Cloud Cost Optimization
- Monitor and optimize AWS costs across services.
- Implement right-sizing, autoscaling, and storage lifecycle policies.
- Support Savings Plans and Reserved Instance optimization.
- Promote cost-efficient cloud usage and architecture
DevOps Best Practices
- Apply and promote DevOps principles such as automation, CI/CD, and IaC.
- Reduce operational toil through tooling and automation.
- Support teams in adopting cloud-native and DevOps best practices
Collaboration & Mentorship
- Work closely with application, SRE, and security teams.
- Mentor junior DevOps engineers through code reviews and hands-on guidance.
- Contribute to documentation, runbooks, and operational standards
What You’ll Need
- Strong hands-on experience with AWS (EC2, EKS, ECS, VPC, IAM, RDS, S3, CloudWatch)
- Experience building AI agents or automation bots
- Familiarity with MLOps and FinOps practices
- Strong scripting skills (Python or Bash)
- Proven experience with CI/CD tools (GitLab CI, GitHub etc.)
- Strong experience with Infrastructure as Code (Terraform preferred)
- Hands-on experience with Docker and Kubernetes (EKS)
- Solid understanding of Linux, networking, and cloud security
- Experience with monitoring, logging, and alerting systems
- Strong troubleshooting and automation skills
Bonus Points
- AWS Config, CloudTrail, GuardDuty
- Observability tools (Corologix, ELK, Datadog)
- GitOps tools (ArgoCD, Flux)
- Scripting skills in Python, Go, or Bash
- Exposure to FinOps practices
- AWS Certified Solutions Architect – Associate or Professional
We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward together.
Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Ready to apply?
Apply to RedpinGen AI Architect
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Job Overview:
We are seeking a Senior AI Solution Architect with deep expertise in Artificial Intelligence (AI) and Generative AI (GenAI) to drive solution design, pre-sales engagements, and client delivery. The ideal candidate combines technical excellence with strong business acumen, enabling them to design innovative solutions, craft compelling sales collateral, and confidently engage with executive stakeholders. This role requires proven experience leading teams, shaping solution strategy, and responding to complex RFPs in enterprise environments
Key Responsibilities:
- Lead RFP/RFI responses with strong technical and business narratives.
- Design solution proposals, demos, and workshops with sales teams.
- Build sales assets such as whitepapers, PoV decks, and blueprints.
- Engage C-suite leaders to evangelize AI/GenAI solutions.
- Define end-to-end AI/GenAI architectures (RAG, multi-agent, pipelines, governance, observability).
- Translate business needs into scalable, secure, and compliant AI solutions.
- Ensure smooth design-to-delivery with engineering teams.
- Establish frameworks for AI governance and responsible AI.
- Mentor architects, data scientists, and engineers.
- Drive knowledge sharing through playbooks, accelerators, and best practices.
- Collaborate with cloud, data, security, and domain SMEs for integrated solutions.
Key Skills
- 10+ years of experience in solution architecture, AI/ML, or data platforms, with at least 3–5 years in AI/GenAI initiatives.
- Demonstrated pre-sales experience: RFP responses, PoVs, workshops, and deal support.
- Strong portfolio of sales/marketing assets (whitepapers, solution blueprints, reference architectures).
- Hands-on expertise with AI/GenAI stacks (e.g., LangChain/LangGraph, CrewAI, OpenAI, Anthropic, Azure AI, AWS Bedrock, Databricks).
- Understanding of AI governance and compliance frameworks (EU AI Act, NIST AI RMF, ISO 42001, Microsoft RAI Maturity Model).
- Proven team leadership experience, including mentoring and managing architects/engineers.
- Excellent communication, presentation, and client-facing skills.
Ready to apply?
Apply to Orion Innovation Naukri
Senior Technical Account Manager
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
Position Overview:
As a Senior Technical Account Manager (TAM), you will be a strategic partner for our key business customers, ensuring they receive guidance, support, and resources to succeed in the cloud. This multifaceted role combines technical expertise, leadership, and customer advocacy, making it pivotal to DigitalOcean’s success.
What You’ll Do:
1. Technical Consultation & Architecture Design
- Develop deep expertise in DigitalOcean’s product portfolio and the broader cloud ecosystem.
- Design, diagram, and plan infrastructure architectures tailored to customer needs.
- Conduct technical workshops and consultation sessions to empower customers.
- Stay updated with cloud infrastructure best practices and maintain relevant certifications.
2. Proactive Customer Engagement & Growth
- Manage and grow key DigitalOcean accounts, driving retention and expansion.
- Conduct QBRs to assess customer progress, evolving needs, and growth strategies.
- Identify cost optimization and performance improvement opportunities.
- Collaborate with internal teams (Engineering, Marketing, Account Management) to align on strategic goals.
- Monitor customer usage trends to proactively identify risks and opportunities.
3. Advocacy & Cross-Functional Collaboration
- Serve as the voice of the customer, influencing product development and support processes.
- Liaise with Engineering and Support teams to resolve escalations and technical issues.
- Deliver compelling presentations and training for customers, partners, and internal teams.
- Contribute to technical documentation and knowledge sharing initiatives.
4. Tooling & Efficiency
- Develop tools and scripts to improve TAM workflow and engagement efficiency.
- Stay current with industry trends to enhance customer engagement strategies.
What You’ll Add to DigitalOcean:
Technical Expertise:
- Strong experience in cloud infrastructure, Linux, distributed systems, and automation.
- Basic programming skills in a mainstream language (e.g., Python, Go).
- Knowledge of provisioning and deployment tools such as Terraform, Ansible, and Docker.
- Proficiency with at least one major cloud platform (AWS, GCP, Azure).
- Familiarity with version control (Git), SQL, CI/CD tools, and AI/ML infrastructure principles.
Customer-Centric Approach:
- Proven ability to deliver exceptional customer experiences and technical solutions aligned with business goals.
- Strong stakeholder management, prioritization, and expectation-setting skills.
- Analytical skills to monitor customer trends and identify growth opportunities.
- Experience advocating for customer needs and translating feedback into actionable insights.
Communication Skills:
- Strong verbal and written communication, capable of simplifying complex technical concepts.
- Experience delivering presentations and training sessions tailored to customer needs.
Adaptability & Initiative:
- Self-starter with a passion for technology and open-source projects.
- Quick to adapt to changes in the cloud ecosystem and improve solutions and engagement strategies.
Extra Credit / Preferred Experience:
- Prior experience in Technical Customer Success, Solutions Engineering, or Technical Account Management, particularly in startup environments.
- Cloud certifications (AWS, GCP, Azure) and NVIDIA certifications for GPU and AI/ML.
- Networking (Cisco/Juniper), automation (Terraform, Ansible), virtualization (KVM, Xen), and database experience (MongoDB, MySQL).
- Familiarity with open-source technologies like Docker, Kubernetes (CKA/CKE), and DigitalOcean’s API.
- Linux certifications (RHCSA/RHCE) and experience with large CRMs like Gainsight and Salesforce.
*This is a hybrid role
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Sr Engineer I (GPU)
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are seeking a skilled Software Engineer with expertise in GPU Infrastructure, Ubuntu operating systems, and automation to design, build, maintain, and optimize machine images across a variety of cloud platforms. In this role, you will play a key part in delivering standardized, secure, and high-performant images, including those deployed on GPU Bare Metal and GPU droplet (VM) images
You will focus on automating the image creation lifecycle, ensuring image integrity, and optimizing for performance and security. The ideal candidate brings deep experience in GPU infrastructure, automation, and test systems, along with a strong passion for building secure, scalable, and efficient machine images that power modern cloud-native applications and services.
What You’ll Do:
- Work with key stakeholders in packaging and continuously testing our GPU images across multiple platform services. This includes coordination with hardware engineering teams on packaging firmware versions and maintaining an active compatibility matrix of GPU drivers across Nvidia and AMD GPU platforms (H100/H200/MI300x/MI325x).
- Automation and Scripting: Develop and maintain tooling and scripts (e.g., using HashiCorp Packer, Ansible, Terraform, Python, Shell scripting) to automate the creation, testing, and deployment of machine images.
- Security and Compliance: Ensure machine images adhere to security best practices, including hardening, patch management, and compliance with organizational and industry standards (e.g., CIS benchmarks, GDPR, HIPAA).
- Optimization: Optimize machine images for performance, size, and boot time to enhance scalability and reduce operational costs.
- CI/CD Integration: Integrate machine image creation into CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab CI for automated builds and deployments.
- Versioning and Documentation: Maintain version control for machine images and document configurations, processes, and best practices.
- Monitoring and Troubleshooting: Implement monitoring for image performance and troubleshoot issues related to image deployment and runtime in cloud environments.
- Stay Updated: Keep abreast of advancements in cloud technologies, containerization, and image management tools to propose and implement improvements.
What You'll Add to DigitalOcean:
- Strong experience with building Linux operating system images.
- Solid understanding of GPU related infrastructure including NCCL, RCCL testing frameworks particularly in a fabric connected environment.
Hands-on experience building and managing machine images using tools like Packer, cloud-init, Ansible, Python, and shell scripting. - Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI) for automating image pipelines.
- Strong understanding of security practices in image building (e.g., CVE scanning, secrets management, system hardening).
- Experience in regulated environments (HIPAA, FedRAMP, SOC2, etc.)
- Knowledge of Immutable Infrastructure and Golden Image pipelines.
- Experience with configuration management tools like Chef or Puppet.
This is a hybrid role based in either Hyderabad or Bangalore(India), depending on the candidate's preference.
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Technical Account Manager
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about building meaningful, long-term relationships with our customers that help grow and scale business in the cloud.
Our Technical Account Manager team’s mission is to partner with our most critical business customers, helping them achieve desired outcomes through optimal use of the cloud platform aligned to their business strategy. Technical Account Management is an integral part of our company. They are passionate about building meaningful, long-term relationships with our customers and are experts in cloud technology and the digital economy. As the voice of the customer, you have the opportunity to influence decisions that will greatly improve user experience and contribute to DigitalOcean’s long-term success.
This is a unique and exciting opportunity for someone who is passionate about advising companies as they scale. This multifaceted role combines the responsibilities of a Technical Account Manager with leadership, technical, and strategic elements, making it a crucial position within our organization.
As a Technical Account Manager at DigitalOcean, you are a strategic partner for our key business customers, ensuring they receive the guidance, support, and resources needed to succeed. You will leverage your technical knowledge and customer advocacy skills to retain and grow our customers' deployments on DigitalOcean, helping them solve complex challenges and maximize the value of their cloud infrastructure.
What You’ll Do:
Technical Consultation & Architecture Design:
- Develop and maintain deep expertise in the DigitalOcean product portfolio and the evolving cloud ecosystem.
- Help design, diagram, and plan infrastructure architectures tailored to customer use cases, explaining solutions clearly to both technical and non-technical stakeholders.
- Conduct regular technical consultation sessions and workshops, enabling customers to be self-sufficient in managing their cloud environments.
- Maintain knowledge of cloud infrastructure best practices and recent technologies through the regular attainment and maintenance of important cloud technology certifications and coursework.
Proactive Customer Engagement & Growth:
- Manage and maintain DigitalOcean’s key accounts
- Partner closely with customers to drive engagement, retention, and expansion of their DigitalOcean workloads.
- Conduct QBRs with key accounts, assessing their progress, understanding their evolving needs, and aligning on strategies for future growth.
- Identify opportunities for cost reduction and performance optimization, guiding customers to make data-driven decisions that maximize their cloud investments.
- Collaborate with internal teams, such as Engineering, Marketing, and Account Managers, to align customer needs with DigitalOcean’s strategic goals.
- Proactively monitor customer usage trends, identify potential risks, and uncover new opportunities for growth and adoption.
Advocacy & Cross-Functional Collaboration:
- Act as the voice of the customer within DigitalOcean, ensuring their needs are represented in product development and support processes.
- Liaise with Engineering and Support teams to resolve escalations and technical challenges quickly, ensuring smooth customer experiences.
- Deliver compelling presentations to articulate the benefits and functionality of DigitalOcean’s offerings to customers.
- Contribute to internal and external technical documentation, and provide training for DigitalOcean’s teams and partners to ensure knowledge transfer.
Tooling & Efficiency:
- Develop tools and scripts to streamline DigitalOcean’s technical engagements, improving the efficiency of the Technical Account Management functions.
- Stay current with industry trends and best practices to continuously enhance DigitalOcean's customer engagement strategies.
What You’ll Add to DigitalOcean:
Technical Expertise:
- Proven experience in cloud infrastructure and deep knowledge of Linux, distributed systems, and automation.
- Programming or development experience, with basic skills in at least one mainstream language (e.g., Python, Go).
- Understanding of provisioning and deployment strategies, with knowledge of tools like Terraform, Ansible, and Docker.
- Proficiency with at least one major cloud platform (AWS, Google Cloud Platform, or Azure).
- Proven track record of successfully troubleshooting technical problems.
- Familiarity with version control (e.g., Git), SQL and basic database administration, CI/CD tools, and AI/ML infrastructure principles.
Customer-Centric Approach:
- Passionate about delivering exceptional customer experiences, with a history of building successful technical solutions that align with business goals.
- Ability to manage multiple stakeholders, prioritize effectively, and set clear expectations.
- Strong analytical skills to monitor customer trends and identify opportunities for improvement and growth.
- Experience advocating for customer needs and translating feedback into actionable insights.
Communication Skills:
- Strong verbal and written communication skills, capable of translating complex technical concepts for varied audiences.
- Ability to create and deliver technical presentations and training sessions that resonate with customer needs.
Adaptability & Initiative:
- Self-starter with a passion for technology and open-source projects, eager to learn new tools and systems.
- Quick to adapt to changes in the cloud ecosystem, always looking for ways to improve customer engagement and technical solutions.
- Extra credit for experience in (Technical) Customer Success, Solutions Engineering, or Technical Account Management roles, particularly within fast-paced startup environments.
Extra Credit:
- Cloud certifications (AWS/GCP/Oracle/Azure) and NVIDIA certifications for GPU and AI/ML.
- Experience with networking (Cisco/Juniper), automation tools (Terraform, Ansible), virtualization (KVM, Xen), and databases (e.g., MongoDB, MySQL).
- Familiarity with open-source technologies, such as Docker, Kubernetes (CKA/CKE), and DigitalOcean’s API.
- Linux certifications (e.g., RHCSA/RHCE)
- Experience working with large CRMs like Gainsight and Salesforce
*This job is located in Hyderabad, India
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
Senior Software Engineer I - AI/ML
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Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We want people who are passionate about taking complex concepts and providing a simple and accessible experience for users.We are looking for a Senior Software Engineer to build features and improvements end to end to make accelerated compute simple and accessible for everyone.The Gradient Platform team is responsible for creating tools so that developers can easily create AI Agents for real world problems. We’re a fast-pace team looking to build the next generation of AI/ML workflows on DigitalOcean.
What You’ll Do:
- Drive large cross-functional projects independently to completion
- Work primarily in Typescript, React, GraphQL, Python, and Go
- Build UI components, libraries, tools, and services that power platform
- Maintain and develop the Go and GraphQL API
- Collaborate on design and UX
- Participate and support in operational excellence
- Independently ship product features from planning to launch to maintenance with high autonomy
- Collaborate with other engineers to find elegant architectures and solutions
What You’ll Add to DigitalOcean:
- Own a technical area by providing technical leadership for a team
- Strong interest in development platforms, Data Engineering, MLOps, AI, CI/CD, infrastructure or making products for technical teams
- Able to make effective trade-offs in regards to both engineering and product requirements, while balancing short term and long term needs
- 5+ years relevant industry experience in a fast-paced, high growth tech environment building UI component libraries, design systems, and tools using TypeScript
- Demonstrated design and UX sensibilities
*This job is located in Hyderabad, India
#LI-Hybrid
Why You’ll Like Working for DigitalOcean
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Ready to apply?
Apply to DigitalOcean
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
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Business Insider named us an “enterprise startup to bet your career on”
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Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
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Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
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Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering tea.. In this role you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.
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Implement agent-based AI solutions using the Workato Agentic AI platform.
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Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform
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Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)
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Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows
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Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.
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Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.
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Continuously monitor and improve AI system performance, ensuring efficiency and reliability
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Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.
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Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.
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Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.
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Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.
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Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.
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Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.
Requirements
Qualifications / Experience / Technical Skills
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BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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A total of 4+ years of relevant experience in design, development, and implementation, with at least 1 years of experience in Workato, is a must.
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Proven experience in AI engineering, with a focus on agent-based systems.
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Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.
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Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.
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Experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus.
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Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.
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Hands-on experience with any of the following: Java, Python, or Ruby
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Technical background or a solid understanding of technology and industry trends, especially in the app integration space.
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Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus.
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Good knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus.
Soft Skills / Personal Characteristics
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Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact
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Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set
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Ability to effectively prioritize tasks and manage time, even under high-pressure situations
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Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience
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Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly
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Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge
Job Req ID: 2612
Ready to apply?
Apply to Workato
Staff Software Engineer, Agentic Platform
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ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE
Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.
We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.
As a Staff Engineer you’ll:
- Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration
- Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
- Work with product, data, platform, and security teams to productionise shared AI capabilities
- Design services that are reliable, secure, observable, and easy for other teams to adopt
- Help shape reusable engineering patterns for AI-enabled workflows
WHAT WE ARE LOOKING FOR:
- Strong backend or platform engineering experience in production environments.
- Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
- Experience integrating internal and third-party platforms.
- Comfort working in ambiguity and turning emerging needs into robust platform components.
- Strong focus on quality, reliability, and developer usability.
- Experience with AI infrastructure or orchestration is helpful, but not essential.
- Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
- Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories
Our Tech Stack:
- Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
- Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
- Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
- Docker, Terraform, EKS used by the Cloud team to run the platform
- DataDog and Rollbar to keep it running
- GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
- Angular 2+ with ngrx on Web, Flutter for the Mobile App
- Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management
WHAT YOU’LL GET IN RETURN
- Competitive Compensation - competitive salary and share options
- Time Off – Generous annual leave on top of bank holidays.
- Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
- Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
- Health Insurance – Private family insurance with additional OPD coverage and top-up options.
- Life & Accident Cover – Comprehensive accidental and life insurance protection.
- Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
- Volunteering & Development Days – Paid days annually for volunteering or personal growth.
- Learning & Development – Annual budget for books, courses, coaching, and more.
- WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
- Home Office Setup – Contribution towards setting up your home office
- Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
- Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).
TIDEAN WAYS OF WORKING
At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at TideSenior Staff Software Engineer, Agentic Platform
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ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE:
Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform. You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage.
As a Senior Staff Engineer you’ll:
- Define the architecture for Tide’s agentic platform
- Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability
- Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities
- Set standards for reliability, safety, scalability, and developer experience
- Provide technical leadership across teams and unblock critical decisions
- Implement cost-management and routing logic to optimize LLM spend across different providers
- Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories
WHAT WE ARE LOOKING FOR:
- Deep experience building platform or infrastructure systems at scale
- Strong judgement across APIs, distributed systems, data, and cloud-native architecture
- Track record of leading complex cross-team technical problems
- Experience integrating third-party platforms without losing control of core architecture
- Strong understanding of reliability, security, and observability
- Experience with AI platform components is valuable, but not essential
- Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable
Our Tech Stack:
- Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
- Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
- Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
- Docker, Terraform, EKS used by the Cloud team to run the platform
- DataDog and Rollbar to keep it running
- GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
- Angular 2+ with ngrx on Web, Flutter for the Mobile App
- Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management
WHAT YOU’LL GET IN RETURN:
- Competitive Compensation - competitive salary and share options
- Time Off – Generous annual leave on top of bank holidays.
- Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
- Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
- Health Insurance – Private family insurance with additional OPD coverage and top-up options.
- Life & Accident Cover – Comprehensive accidental and life insurance protection.
- Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
- Volunteering & Development Days – Paid days annually for volunteering or personal growth.
- Learning & Development – Annual budget for books, courses, coaching, and more.
- WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
- Home Office Setup – Contribution towards setting up your home office
- Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
- Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).
TIDEAN WAYS OF WORKING
At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at Tide
Senior Security Engineer – Data Security & Security Reviews
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Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US.
Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Role Overview
- We are looking for a Senior Security Engineer to lead data security, threat modeling, and security reviews across our applications and platforms.
- This role focuses on proactively identifying design-level risks, securing sensitive data, and ensuring systems are built with strong security foundations. You will work closely with engineering teams to influence architecture and embed security early in the development lifecycle.
Key Responsibilities
- Lead security design reviews for new and existing systems, identifying risks and driving secure architecture decisions.
- Perform threat modeling for services and platforms, translating threats into actionable engineering requirements.
- Define and implement data protection strategies, including:
- Data classification and handling standards
- Encryption (at rest/in transit)
- Key management and secrets handling
- Review application architectures and APIs for security weaknesses and design flaws.
- Conduct third-party/vendor security assessments, ensuring risks are identified and mitigated.
- Partner with engineering teams to remediate findings and improve system design.
- Establish and evolve secure design patterns and guidelines for developers.
- Integrate security into design and development workflows (shift-left).
- Evaluate and secure AI/ML use cases, including risks such as data leakage and prompt injection.
- Contribute to security standards, policies, and best practices across the organization.
- Required Qualifications
- 8–12+ years of experience in security engineering or application security.
- Strong expertise in threat modeling and secure system design.
- Deep understanding of:
- Application security principles (OWASP Top 10, API security)
- Data protection and privacy concepts
- Authentication and authorization mechanisms
- Experience conducting architecture and design-level security reviews.
- Ability to read and understand code across common languages.
- Strong communication skills to influence engineering teams.
- Preferred Qualifications
- Experience in cloud environments (Azure preferred).
- Familiarity with secure SDLC practices and DevSecOps tooling.
- Experience with regulated environments (e.g., healthcare, finance).
- Knowledge of AI/ML security risks.
- Relevant certifications (e.g., CISSP, CSSLP).
- What We’re Looking For
- Strong analytical thinker who can identify risks early in design.
- Ability to translate security into practical engineering guidance.
- Comfortable working across teams and influencing decisions.
Ready to apply?
Apply to Truveta
Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US.
Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
This job requires daily onsite work at our headquarters in Hyderabad.
Who we need
Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. We are seeking candidates inspired by the opportunity to securely apply data in the development of real-world health solutions. Beyond core capabilities, we seek problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference.
We do things the right way. Our commitment to security, privacy, and compliance is foundational to the trust our members, customers, and partners place in us. This position is critical to protecting the infrastructure behind the most representative, complete, and timely source of linked patient data in the US.
If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.
This opportunity
Success in the healthcare industry is predicated on a foundation of trust. We demonstrate our trustworthiness as stewards of health data through three foundational pillars: security, privacy, and compliance.
At Truveta, data security is not just an internal requirement; it is essential to enabling trusted research, regulatory-grade evidence, and responsible innovation at scale. Truveta has achieved HITRUST r2 certification, completed a SOC 2 Type 2 examination, and maintains ISO 27001 certification, with ISO 27701 and ISO 27018 extensions. These certifications reflect a rigorous, independently assessed approach to managing risk, protecting sensitive data, and maintaining the controls required for a highly trusted research environment.
Responsibilities:
- Design and implement Azure cloud-based infrastructure, including using tools for infrastructure as code(IaC) and automation to meet technical, security and business needs.
- Design and implement Azure cloud environments (tenant, subscription, VM, storage account, databases, networking, firewalling) optimized for AI/ML workloads.
- Manage and maintain Azure Networking, Azure firewalls/VPN and associated policies/rules, Web Application Firewall, Application Gateway, Front Door, VNET peering, ensuring security, availability, scalability, and performance.
- Secure Azure Kubernetes clusters, containers, and images.
- Establish and enforce Azure security policies, manage access controls, and ensure the infrastructure complies with relevant regulations.
- Automate tenant and infrastructure provisioning, deployments, and other routine tasks to increase efficiency.
- Monitor Azure cloud resources, analyze performance, and troubleshoot issues as they arise.
- Perform incident troubleshoot and problem resolution for office network, cloud infrastructure, and own postmortems.
- Work with Engineering teams and external teams, gather requirements, develop and integrate cloud solutions and support business needs.
- Actively participate in architecture, code reviews, presentations, share learns and best practices to enable flawless deployment and quality operations.
- Evaluate and implement new security features/services/products to secure Truveta Azure infrastructure.
- Support innovation and cost management by developing new ideas for Azure cloud infrastructure and related tools.
- Interact with compliance team to deliver compliance certificates and remediate gaps during compliance finding and controls.
Qualifications
- A minimum bachelor's in computer science, Software Engineering, Electrical or Electronics Engineering, Information Systems, or equivalent
- 5+ years’ experience in public cloud networking & security design, implementation & support
- Experience of TCP/IP IPv4/v6, office network (Routing/Switching/WAN, Wi-Fi & Security) management
- 3+ years automation experience in Azure Cloud Networking / Azure DevOps or GitHub CI/CD pipelines in any of the following: Python, PowerShell, Terraform, Bicep, YAML template
- 3+ years network security practices in on-premises and/or cloud environment
- Experience managing and supporting Windows Desktop OS, MacOS, managed endpoint administration at scale across an enterprise sized environment
- Understanding the Windows Desktop/Mac OS packaging, scripting, and automated deployment tools, such as Microsoft Intune and Jamf.
- Ability to participate in on-call rotation
Preferred qualifications
- Experience in implementation & securing platforms/services in one or more public clouds (Azure, AWS, GCP)
- Self-starter with proven ability to develop creative solutions that enable customers and cost efficiency
- Interest and ability to research new and emerging technologies to better solve cloud infrastructure problems or improve security posture
- Certifications in Cloud/Network/Security (such as Azure AZ500, AZ700, Cisco CCNA/CCNP, Fortinet NSE 3-6, Palo Alto PCNSE, etc.)
Ready to apply?
Apply to Truveta
Senior Software Engineer (AI/ML) (PhD / Postdoc)
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About Truveta
Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US.
Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
The Role
We are seeking a highly motivated Postdoctoral Researcher to explore and develop novel applications of cutting-edge AI/ML technologies on large-scale real-world clinical data.
This role is designed for recent PhD graduates who are passionate about pushing the boundaries of machine learning in healthcare. You will work at the intersection of machine learning, clinical data, and biomedical science, identifying new opportunities where modern AI can unlock insights that were previously out of reach.
A key expectation is not just execution—but imagination: the ability to envision and prototype entirely new ways to use rich patient data to solve meaningful healthcare problems.
What You’ll Do
- Innovate: Identify and propose novel, high-impact applications of AI/ML using large-scale EHR data
- Research & Prototype: Design, develop, and evaluate state-of-the-art models (e.g., foundation models, multimodal learning, causal ML, generative AI)
- Work Across Modalities: Integrate structured and unstructured EHR data with emerging data types such as genomics, imaging, and clinical notes
- Collaborate Cross-Functionally: Partner with clinicians, data scientists, and product teams to translate research ideas into real-world solutions
- Publish & Share: Contribute to top-tier conferences/journals and represent Truveta in the research community
- Explore the Unknown: Proactively identify problems that have not yet been addressed and define new research directions
What We’re Looking For
Minimum Qualifications
- PhD in Computer Science, Machine Learning, Biomedical Informatics, or a related field
- Strong background in machine learning, deep learning, or statistical modeling
- Experience applying ML to healthcare, biomedical, or clinical datasets
- Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
Preferred Qualifications
- Experience with healthcare data (EHRs, claims, clinical notes) or biomedical data (genomics, imaging)
- Familiarity with cutting-edge areas such as:
- Foundation models / LLMs in healthcare
- Multimodal learning
- Causal inference
- Representation learning on longitudinal data
- Track record of publications in top-tier ML or healthcare venues (e.g., NeurIPS, ICML, ICLR, MLHC, AMIA)
- Ability to work across disciplines and communicate with both technical and clinical stakeholders
Who You Are
- Curious and imaginative: You naturally think beyond existing solutions and ask “what hasn’t been done yet?”
- Impact-driven: You care about applying research to real-world healthcare problems
- Comfortable with ambiguity: You thrive in open-ended environments where defining the problem is part of the job
- Collaborative: You enjoy working across domains and learning from experts in different fields
Why This Role is Unique
- Access to one of the largest and richest longitudinal EHR datasets in the US
- Opportunity to work on previously infeasible problems at the intersection of AI and medicine
- A balance of academic-style research freedom and real-world impact
- Collaboration with leading healthcare systems and industry partners
Example Problem Areas (Illustrative)
- Learning patient trajectories using foundation models for clinical decision support
- Discovering novel phenotypes or disease subtypes from multimodal data
- Predicting treatment effectiveness using causal ML on real-world data
- Generating synthetic cohorts for rare disease research
- Integrating genomics + EHR for precision medicine applications
Ready to apply?
Apply to Truveta
About Truveta
Truveta is the world’s first health provider–led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’s ambitious vision requires an incredible team of talented and inspired people with a unique combination of health, software, and big data expertise who share our company values.
Who We Need
Truveta is seeking Senior Full Stack Engineers in India to help build and evolve our internal annotation and administrative platforms. These systems are critical to enabling high-quality data modeling, clinical note annotation, LLM-based labeling, concept mapping, and operational workflows across the company.
We are looking for engineers who enjoy solving complex UX and data problems and want to build tools used daily by internal experts.
This Opportunity
As a Senior Full Stack Engineer, you will work on modern internal web applications that handle large volumes of text, structured and unstructured data, and complex review workflows. You will collaborate closely with engineers, product managers, designers, and ML teams across geographies.
What You’ll Do
- Design, build, and maintain full-stack features for annotation and internal tooling platforms.
- Implement advanced UI interactions such as text highlighting, tagging, categorization, and review workflows.
- Build backend services that support annotation workflows, metadata management, and integrations.
- Collaborate with ML engineers to translate annotation requirements into scalable software solutions.
- Optimize performance for high-volume data and concurrent users.
- Participate in code reviews, architecture discussions, and on-call rotations as needed.
Key Qualifications
- Bachelor’s degree in Computer Science or equivalent experience.
- 8+ years of professional software development experience.
- Strong frontend experience with React and TypeScript.
- Experience with state management frameworks such as Redux.
- Backend experience using NestJS (Node.js) and/or C#/.NET.
- Familiarity with RESTful API design and modern service architectures.
- Experience building internal tools, dashboards, or workflow-driven applications.
- Strong collaboration and communication skills.
Ready to apply?
Apply to Truveta
Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US.
Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Role Overview
We are looking for a Principal Security Engineering Manager to own and drive security across applications, cloud infrastructure, and platform operations.
This role requires a hands-on technical leader who can design and implement security controls end-to-end while partnering closely with engineering teams. The ideal candidate brings a strong mix of software engineering, cloud architecture, and security expertise, with the ability to scale security practices in a modern, cloud-native environment.
Key Responsibilities
- Lead the design and implementation of security controls across the full technology stack, including applications, services, and cloud infrastructure.
- Establish and drive secure development practices, integrating security into CI/CD pipelines and developer workflows.
- Own programs for identifying and addressing risks, including:
- Vulnerability discovery and remediation
- Application and infrastructure testing
- Continuous validation of security posture
- Define and implement data protection strategies, including encryption, access controls, and data handling standards.
- Conduct and govern security assessments for both internally developed systems and external vendors/partners.
- Build and enhance identity and access control systems, ensuring least privilege and strong authentication mechanisms.
- Develop and mature logging, monitoring, and detection capabilities to identify and respond to threats effectively.
- Strengthen threat detection and incident response readiness through automation, telemetry, and engineering-driven approaches.
- Design and secure cloud and network architectures, including edge protection, traffic filtering, and service isolation.
- Drive adoption of modern security architectures such as zero trust and defense-in-depth.
- Integrate security into emerging technologies, including AI/ML systems, ensuring protection against data leakage and model abuse.
- Partner with engineering, platform, and product teams to embed security into system design and architecture decisions.
- Lead by example as a hands-on engineer, contributing to design reviews, code, and automation where needed.
- Mentor and guide engineers, raising the overall security and engineering maturity of the organization.
Required Qualifications
- 12–16+ years of experience in security engineering, software engineering, or cloud security.
- Strong background in software development or DevOps, with the ability to build or review code and automation.
- Deep understanding of:
- Secure application design and common vulnerabilities
- Cloud platforms (Azure preferred) and distributed systems
- Identity systems and access control models
- Monitoring, detection, and response mechanisms
- Network and edge security principles
- Experience implementing security at scale in cloud-native environments.
- Proven ability to balance strategic thinking with hands-on execution.
- Strong communication skills with the ability to influence engineering and leadership teams.
Preferred Qualifications
- Experience in regulated environments (e.g., healthcare, finance).
- Familiarity with modern AI/ML security considerations.
- Experience with large-scale telemetry and detection systems (e.g., SIEM platforms).
- Knowledge of industry standards and compliance frameworks.
- Relevant certifications (e.g., CISSP, OSCP, cloud security certifications).
What We’re Looking For
- A builder and problem-solver who can operate across multiple layers of the stack.
- Someone who naturally bridges engineering and security rather than treating them separately.
- A leader who can simplify and unify security practices across teams.
- Strong ownership mindset with the ability to drive outcomes in a complex environment.
Ready to apply?
Apply to Truveta
Principal AI Engineer - Frontier Data
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About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
The Role
We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.
This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.
What You Will Do
- Build & Deploy (60%):
Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.
Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.
Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.
Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.
- Customer Engineering (40%):
Serve as the technical face of the company for our most demanding accounts.
Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.
Translate technical constraints into business value for non-technical executives.
Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.
The "Must-Haves"
- Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
- Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
- Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
- Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).
The "Why You" (Soft Skills)
- Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
- Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
- Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.
What will set you apart
- Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.
Tech Stack
- Languages: Python (Expert).
- AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
- Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Ready to apply?
Apply to TuringPrincipal Forward Deployed AI Engineer
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About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
About the role:
Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.
Required skills
- 8 + years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
- 1+ year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
- Expert in architecting GenAI applications/systems using various frameworks & cloud services
- Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
- Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
- Experience in driving the engineering team toward a technical roadmap.
- Excellent communication skills to effectively collaborate with business SMEs
Roles & Responsibilities
- Build the technical roadmap given a business requirement and own the delivery of the same.
- Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction.
- Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
- Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
- Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
- Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
- Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
- Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.
Education
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Ready to apply?
Apply to TuringSenior Technical Recruiter
Share this job
About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
Location: India (Mumbai/Pune/Hyderabad/Chennai/Bengaluru) - Remote
Experience: 4-8+ Years
Type: Individual Contributor
About the Role
We are looking for an experienced and high-impact Senior Technical Recruiter to join our growing Talent team. This is a full-cycle, individual contributor role responsible for driving end-to-end recruitment for technical positions across the organization.
The ideal candidate brings strong sourcing depth, structured problem-solving, stakeholder management expertise, and proven closing ability. You will operate in a fast-paced, high-growth environment where ownership, urgency, and quality are equally important.
What You’ll Do
- Own and manage the full recruitment lifecycle for technical roles
- Conduct intake meetings and define hiring strategy with stakeholders
- Build proactive sourcing strategies using LinkedIn Recruiter, Naukri, GitHub, referrals, and niche platforms
- Screen and evaluate candidates for technical capability and culture fit
- Manage the interview process and ensure a seamless candidate experience
- Drive stakeholder alignment and influence hiring decisions
- Lead offer negotiations and candidate closing conversations
- Provide market intelligence (compensation benchmarks, talent mapping, competitor insights)
- Track pipeline metrics and maintain ATS hygiene (Greenhouse preferred)
- Continuously improve hiring processes for speed and quality
What We’re Looking For
Experience
- 4 - 8+ years of technical recruitment experience
- Proven experience managing full-cycle hiring independently
- Experience hiring for Engineering, AI/ML, Corporate roles, Data, Security, or other technical roles
- Experience in startup or high-growth environments preferred
- Exposure to India/US/global hiring is a strong plus
Core Competencies
Technical / Hard Skills
- End-to-end technical recruiting
- Advanced sourcing expertise (Boolean search, LinkedIn Recruiter, GitHub, talent mapping)
- Market intelligence and pipeline building
- Offer negotiation and candidate closing
- ATS experience (Greenhouse preferred)
- Data-driven recruitment and metric tracking
Soft Skills
- Strong stakeholder management and influencing skills
- Structured problem-solving ability
- Ability to operate at startup speed
- Resilience and ownership mindset
- Comfort with ambiguity and competing priorities
- High accountability and execution focus
Ideal Background
We encourage applications from recruiters who have worked in:
- High-growth startups
- SaaS or product-based companies
- Tech-first organizations
- IT services firms with strong technical hiring exposure
Ideal candidates have hired for Engineering, AI/ML, Corporate roles, Data, or Security roles, and are comfortable operating in high-velocity hiring environments.
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Ready to apply?
Apply to TuringStrategic Project Lead
Share this job
About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
Strategic Project Lead / Delivery Manager
Data Annotation & AI Delivery
8+ Years of Experience
Position Overview
We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.
This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.
Primary Responsibilities
- Team Leadership & Development
- Lead, mentor, and grow large-scale teams of annotators and trainers.
- Drive performance management, career development, and targeted training.
- Foster a culture of excellence, ownership, and continuous learning.
- Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.
- Project Management & Coordination
- Define and manage project scope, objectives, timelines, and quality metrics.
- Align with cross-functional stakeholders on goals and deliverables.
- Proactively identify and resolve delivery risks, blockers, and dependencies.
- Provide clear and consistent reporting on progress, challenges, and solutions.
- Data Quality & Integrity
- Own quality control and data integrity across the annotation lifecycle.
- Analyze datasets to identify trends, anomalies, and insights for improvement.
- Implement best practices for annotation, evaluation, and data curation.
- Share learnings and continuously improve quality processes.
- Technical Collaboration & Innovation
- Partner with engineering and research teams to optimize internal tooling.
- Stay ahead of emerging trends in AI, ML, and multimodal processing.
- Champion innovations that reduce task completion times and improve efficiency.
- Maintain clear and scalable documentation for processes and training.
- Customer & Domain Engagement
- Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
- Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
- Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
- Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.
Required Skills & Qualifications
- 10+ years of experience in engineering, program management, or delivery of large-scale projects.
- Proven ability to lead and scale large teams (100+ members) with measurable impact.
- Strong technical grounding in AI/ML, data annotation, and multimodal systems.
- Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
- Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
- Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
- Proficiency in Python (preferred) or Swift for data analysis and automation.
- Strong mathematical and analytical skills for data-driven problem solving.
- Experience in data curation, annotation pipelines, and quality control.
- Excellent communication and stakeholder management skills.
- Track record of driving high-quality outputs under tight deadlines.
Preferred Skills & Qualifications
- Advanced degree in Computer Science, Data Science, AI, or related fields.
- Experience applying gamification to workforce engagement.
- Familiarity with modern project management tools & methodologies.
- Exposure to state-of-the-art multimodal AI technologies.
- Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
- Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
- Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Ready to apply?
Apply to TuringSenior Data (Platform) Engineer
Location: Hyderabad | Department: Technology, Data
About the Role
Are you passionate about building reliable, scalable data platforms that make analytics and AI development easier? As a Senior Data Platform Engineer, you will be hands-on in building, operating, and improving our core data platform and AI/LLM enablement tooling.
You’ll focus on infrastructure, orchestration, CI/CD, and reusable frameworks that support analytics engineering and AI-driven use cases. You’ll work closely with Analytics Engineering and Insights teams and support other departments as they integrate with our data systems.
What You'll Do
Data Platform & Infrastructure
- Build, deploy, and operate cloud infrastructure for data and AI workloads using Infrastructure as Code (Terraform).
- Provision and manage cloud resources across development, staging, and production environments.
- Develop and maintain CI/CD pipelines for data transformations, orchestration workflows, and platform services.
- Operate and scale containerized workloads on Kubernetes, including Airflow, internal APIs, and AI/LLM services.
- Troubleshoot and resolve infrastructure, pipeline, and orchestration failures to ensure platform reliability.
- Maintain and support existing ML services and pipelines to ensure stability and reliability (No expectation to design or develop new ML models or training pipelines).
- Continuously monitor and optimize platform performance and cost.
Framework, Tooling and Enablement
- Build and maintain reusable frameworks and patterns for dbt, Airflow, Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.), Internal data and AI APIs
- Build and support infrastructure and pipelines for AI/LLM-based use cases, including orchestration, integration, and serving.
- Improve developer experience for Analytics Engineering and Insights teams by reducing friction in local development, deployments, and production workflows.
- Create and maintain technical documentation and examples to support self-service analytics and data development.
What You’ll Need
Technical Skills & Experience
- 5+ years of experience in data engineering, platform engineering, or similar hands-on roles.
- Strong programming skills in Python and SQL.
- Hands-on experience with:
- Terraform
- Airflow
- dbt
- Kubernetes
- Cloud platforms (AWS, Google Cloud, or Microsoft Azure)
- CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.)
- Cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.)
- Strong understanding of analytical data models and how analytics teams consume data.
- Experience integrating and operating LLM-based pipelines and services (not model training).
Soft Skills & Collaboration
- Strong problem-solving skills and ability to debug complex platform issues.
- Strong preference for declarative development, with the ability to clearly separate what a system should do from how it is implemented.
- Clear communicator who can work effectively with both technical and non-technical stakeholders.
- Pragmatic, ownership-driven mindset with a focus on reliability and simplicity.
Why Join Us?
We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward, together.
Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
Ready to apply?
Apply to RedpinAbout Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering tea.. In this role you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.
In this role, you will also be responsible to:
-
Implement agent-based AI solutions using the Workato Agentic AI platform.
-
Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform
-
Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)
-
Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows
-
Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.
-
Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.
-
Continuously monitor and improve AI system performance, ensuring efficiency and reliability
-
Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.
-
Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.
-
Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.
-
Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.
-
Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.
-
Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.
Requirements
Qualifications / Experience / Technical Skills
-
BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
-
A total of 4+ years of relevant experience in design, development, and implementation, with at least 1 years of experience in Workato, is a must.
-
Proven experience in AI engineering, with a focus on agent-based systems.
-
Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.
-
Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.
-
Experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus.
-
Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.
-
Hands-on experience with any of the following: Java, Python, or Ruby
-
Technical background or a solid understanding of technology and industry trends, especially in the app integration space.
-
Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus.
-
Good knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus.
Soft Skills / Personal Characteristics
-
Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact
-
Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set
-
Ability to effectively prioritize tasks and manage time, even under high-pressure situations
-
Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience
-
Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly
-
Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge
(REQ ID: 2619)
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering tea.. In this role you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.
-
Implement agent-based AI solutions using the Workato Agentic AI platform.
-
Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform
-
Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)
-
Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows
-
Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.
-
Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.
-
Continuously monitor and improve AI system performance, ensuring efficiency and reliability
-
Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.
-
Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.
-
Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.
-
Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.
-
Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.
-
Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.
Requirements
Qualifications / Experience / Technical Skills
-
BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
-
A total of 4+ years of relevant experience in design, development, and implementation, with at least 1 years of experience in Workato, is a must.
-
Proven experience in AI engineering, with a focus on agent-based systems.
-
Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.
-
Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.
-
Experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus.
-
Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.
-
Hands-on experience with any of the following: Java, Python, or Ruby
-
Technical background or a solid understanding of technology and industry trends, especially in the app integration space.
-
Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus.
-
Good knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus.
Soft Skills / Personal Characteristics
-
Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact
-
Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set
-
Ability to effectively prioritize tasks and manage time, even under high-pressure situations
-
Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience
-
Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly
-
Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge
Job Req ID: 2610
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an experienced and exceptional AI / Machine Learning Engineer to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems.
As part of this role you will:
-
Design and implement advanced AI/ML systems with a focus on LLMs, AI Agents, and retrieval-augmented generation (RAG) architectures.
-
Build production-grade AI pipelines for data processing, model training, fine-tuning, and serving at scale.
-
Build conversational AI interfaces that handle multi-turn customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.
-
Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, and conversation outcomes to improve model performance over time.
-
Create analytics dashboards and reporting tools to track automation effectiveness, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores.
-
Lead technical initiatives for AI system integration into existing products and services.
-
Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.
Requirements
Qualifications / Experience / Technical Skills
-
Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.
-
5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).
-
Demonstrated experience building production conversational AI systems including chatbots, virtual assistants, and automated support agents using LLMs (OpenAI, Anthropic, open-source models).
-
Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, and conversation flow management.
-
Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.
-
Strong background in customer support metrics and KPIs including CSAT, first contact resolution, average handle time, and containment rate optimization.
-
Experience with sentiment analysis and emotion detection for escalation triggers and customer satisfaction monitoring.
-
Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.
-
Proficiency with contact center platforms (Zendesk, Salesforce Service Cloud, Genesys, or similar) and their API integrations.
-
Experience implementing real-time agent assist systems that provide suggestions, knowledge articles, and response templates during live interactions.
-
Familiarity with compliance and security requirements for handling sensitive customer data in automated systems (PCI, HIPAA, GDPR).
-
Experience with A/B testing and experimentation frameworks for optimizing conversation flows and response strategies.
Soft Skills / Personal Characteristics
-
Strong communication abilities to explain technical concepts
-
Collaborative mindset for cross-functional team work
-
Detail-oriented with strong focus on quality
-
Self-motivated and able to work independently
-
Passion for solving complex search problems
(REQ ID: 2675)
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an experienced and exceptional Senior AI Engineer (Voice AI) to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. If building AI products from zero to one that scales to serve millions of users from first principles of AI and engineering, you are at the right place. We are building organization-aligned agents that are consistent at scale from the ground up and looking for passionate builders who are rooted in foundational AI knowledge to reimagine the agent control and data plane.
As part of this role you will:
-
Design and implement advanced AI/ML systems with a focus on SLMs, LLMs, AI Agents, and Search architectures.
-
Build conversational AI interfaces that handle multi-turn low latency chat/voice customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.
-
Build production-grade AI pipelines for data processing, model training, fine-tuning, benchmarking (dual-control, fluid model etc.) and serving at scale.
-
Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, LLM evaluations, human evaluations and conversation outcomes to improve model performance over time. Reinforce organizational policies based on knowledge bases, conversational data and memory systems.
-
Create AI based analytics dashboards and reporting tools to track automation effectiveness, tracing for identifying bottlenecks, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Quality assurance, management to get actionable insights from customer conversations and create evals for the current generation agents.
-
Lead technical initiatives for AI system integration into existing products and services.
-
Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.
Requirements
Qualifications / Experience / Technical Skills
-
Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.
-
5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).
-
Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using SLMs, LLMs (commercial, open-source models).
-
Demonstrated strong foundational understanding and appreciate first principles thinking in ML, NLP (transformer based models).
-
Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, dialogue state tracking and conversation flow management for building a reliable framework for context engineering.
-
Expertise in tuning streaming ASR and TTS engines, Speech to Speech models for context and domain aware transcriptions and naturalness in voice.
-
Expertise in conversation mining for identifying customer intents, root cause analysis, sentiment, resolution, policy adherence for not just auditing but truly understanding conversations for business outcomes across large enterprise scale.
-
Expertise in working with use case based SLMs for realtime agent coaching and recommendations.
-
Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.
-
Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.
-
Deep knowledge of REST API design, Pub-Sub architectures and integration patterns
-
Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases (added advantage but not necessary skill)
-
Strong understanding of software architecture, scalability, security, and system design.
-
Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus
-
Experience with A/B testing and experimentation frameworks.
Soft Skills / Personal Characteristics
-
Strong communication abilities to explain technical concepts
-
Collaborative mindset for cross-functional team work
-
Detail-oriented with a strong focus on quality
-
Self-motivated and able to work independently
- Passion for solving complex search problems
(REQ ID: 2676)
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for an experienced Senior Forward Deployed Engineer to join our AI Solutions team. In this role, you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.
-
Architect and implement agent-based AI solutions using the Workato Agentic AI platform.
-
Designing intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform.
-
Design and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs).
-
Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows.
-
Act as a technical solutions expert with a strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.
-
Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.
-
Continuously monitor and improve AI system performance, ensuring efficiency and reliability.
-
Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.
-
Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.
-
Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.
-
Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.
-
Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.
-
Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.
Requirements
Please note: In this role, you will be supporting the US business hours from 6:30 PM to 3:30 AM IST!
Qualifications / Experience / Technical Skills
-
BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
-
A total of 8+ years of relevant experience in design, development, and implementation, with at least 3 years of experience with the Workato platform, is a must.
-
Proven experience in AI engineering, with a focus on agent-based systems.
-
Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.
-
Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.
-
5+ years of experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus.
-
Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.
-
2-3 years of coding experience (Java/Python/Ruby).
-
Technical background or a solid understanding of technology and industry trends, especially in the app integration space.
-
Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus.
-
Working knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus.
Soft Skills / Personal Characteristics
-
Strong collaboration skills, ability to adapt to a dynamic start-up environment, with a passion for making an impact.
-
Strong critical thinking, analytical skills with an entrepreneurial and proactive mindset.
-
Ability to effectively prioritize tasks and manage time, even under high-pressure situations.
-
Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience.
-
Fast learner who can independently conduct extensive research and synthesize ideas, information and options quickly.
-
Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge.
Please respond to the Job Application Questions below with thorough and honest answers - concise yet detailed responses will distinguish you in our selection process.
All submissions are personally reviewed by the Hiring Team, not evaluated by AI.
Ready to apply?
Apply to Workato
About Workato
Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
Why join us?
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
-
Business Insider named us an “enterprise startup to bet your career on”
-
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
-
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
-
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are seeking a Senior Full Stack Software Engineer to lead the development of cutting-edge AI-powered applications. In this role, you’ll work across the stack—building robust Python-based backends, developing intuitive frontends in React, and architecting scalable systems that handle high-throughput data and real-time AI model integration.
This is a hands-on technical lead position for someone passionate about building production-ready AI products that are fast, secure, and user-friendly.
-
Design and develop full stack AI applications, integrating powerful AI models with seamless front-end user experiences.
-
Build scalable, production-grade backend services and REST APIs using Python.
-
Develop clean, performant, and reusable React.js components for modern web interfaces.
-
Architect efficient and secure data workflows, leveraging PostgreSQL for transactional data and ClickHouse for analytics and high-performance querying.
-
Collaborate closely with AI/ML engineers, product managers, and DevOps to bring models to life in real-world applications.
-
Lead architecture discussions and set engineering best practices across the stack.
-
Optimize application performance, scalability, and reliability across backend and frontend systems.
-
Mentor junior developers and contribute to a culture of engineering excellence.
Requirements
Qualifications / Experience / Technical Skills
-
Bachelor's degree in Computer Science, related field, or equivalent practical experience. We value both traditional education and self-taught expertise.
-
5+ years of professional software development experience, with significant exposure to both frontend and backend technologies.
-
Expertise in Python, with a strong understanding of building APIs, microservices, and data pipelines.
-
Proven experience developing production-ready frontend applications using React.js (or similar frameworks).
-
Deep knowledge of REST API design and integration patterns.
-
Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases.
-
Familiarity with integrating AI/ML models into applications (directly or via APIs).
-
Strong understanding of software architecture, scalability, security, and system design.
-
Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.
Soft Skills / Personal Characteristics
-
Excellent verbal and written communication skills; able to clearly articulate technical ideas and trade-offs.
-
Strong sense of ownership, accountability, and leadership.
-
Passion for AI and delivering impactful, data-driven software solutions.
-
Comfortable working in a fast-paced, collaborative, and iterative environment.
-
Willingness to mentor others and help raise the overall bar for engineering quality.
Job Req ID: 2319
Ready to apply?
Apply to Workato
Engineering Manager
Share this job
ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE:
As an Engineering Manager at Tide,
- You’re an experienced Engineering Manager with strong technical and people-leadership skills, comfortable operating at scale and driving impact through well-designed platforms.
- You’ll lead the engineering delivery of our subscriptions platform across multiple markets, owning the technical direction and execution of systems that power subscription creation, pricing, lifecycle managements. You’ll focus on building scalable, resilient, and extensible platform capabilities that support growth and evolving business needs.
- You’ll manage and develop a team of engineers, setting clear technical standards and fostering a culture of ownership and continuous improvement. Partnering closely with Product and stakeholders across the business, you’ll turn product strategy into reliable platform solutions and ensure high-quality delivery across the full subscription lifecycle.
- You’ll be part of the Member Engagement Marketing (MEM) engineering group, working closely with Billing, Payments, Marketing, Data, and Finance teams. Together, you’ll deliver a robust and transparent subscriptions platform that enables seamless member experiences and long-term value.
WHAT WE ARE LOOKING FOR:
- Extensive experience (10+ years) building server-side applications and detailed knowledge of Java.
- Sound knowledge of a backend framework (e.g. Spring/Spring Boot)
- Experience with running microservices and implementing and consuming RESTful APIs
- Experience engineering scalable and reliable solutions in a cloud-native environment
- A mindset of delivering secure, well-tested and well-documented software
- Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
- Experience integrating with various third party providers and partners
- Sound knowledge and experience working with relational databases.
- Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly.
- Ability to communicate technical concepts to a non-technical audience
- Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production.
- A technical hands on leader who is in the details of what the team is working on day to day.
- Experience leading teams
- Experience directly managing people.
OUR TECH STACK:
- Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
- Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
- Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users)
- Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform
- DataDog for monitoring, observability and automated SLOs
- GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week
- Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
- Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management
WHAT YOU’LL GET IN RETURN:
- Competitive Compensation - competitive salary and share options
- Time Off – Generous annual leave on top of bank holidays.
- Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
- Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
- Health Insurance – Private family insurance with additional OPD coverage and top-up options.
- Life & Accident Cover – Comprehensive accidental and life insurance protection.
- Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
- Volunteering & Development Days – Paid days annually for volunteering or personal growth.
- Learning & Development – Annual budget for books, courses, coaching, and more.
- WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
- Home Office Setup – Contribution towards setting up your home office
- Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
- Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).
Tidean Ways of Working
At Tide, we’re Member First and Data Driven, but above all, we’re One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We are remote first, but when you do want to meet new people, collaborate with your team or simply hang out with your colleagues, our offices are always available and equipped to the highest standard. We offer flexible working hours and trust our employees to do their work well, at times that suit them and their team.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at TideEngineering Manager
Share this job
ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE:
As an Engineering Manager at Tide,
- You’re an experienced Engineering Manager with strong technical and people-leadership skills, comfortable operating at scale and driving impact through well-designed platforms.
- You’ll lead the engineering delivery of our subscriptions platform across multiple markets, owning the technical direction and execution of systems that power subscription creation, pricing, lifecycle managements. You’ll focus on building scalable, resilient, and extensible platform capabilities that support growth and evolving business needs.
- You’ll manage and develop a team of engineers, setting clear technical standards and fostering a culture of ownership and continuous improvement. Partnering closely with Product and stakeholders across the business, you’ll turn product strategy into reliable platform solutions and ensure high-quality delivery across the full subscription lifecycle.
- You’ll be part of the Member Engagement Marketing (MEM) engineering group, working closely with Billing, Payments, Marketing, Data, and Finance teams. Together, you’ll deliver a robust and transparent subscriptions platform that enables seamless member experiences and long-term value.
WHAT WE ARE LOOKING FOR:
- Extensive experience (10+ years) building server-side applications and detailed knowledge of Java.
- Sound knowledge of a backend framework (e.g. Spring/Spring Boot)
- Experience with running microservices and implementing and consuming RESTful APIs
- Experience engineering scalable and reliable solutions in a cloud-native environment
- A mindset of delivering secure, well-tested and well-documented software
- Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
- Experience integrating with various third party providers and partners
- Sound knowledge and experience working with relational databases.
- Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly.
- Ability to communicate technical concepts to a non-technical audience
- Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production.
- A technical hands on leader who is in the details of what the team is working on day to day.
- Experience leading teams
- Experience directly managing people.
OUR TECH STACK:
- Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
- Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
- Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users)
- Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform
- DataDog for monitoring, observability and automated SLOs
- GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week
- Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
- Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management
WHAT YOU’LL GET IN RETURN:
- Competitive Compensation - competitive salary and share options
- Time Off – Generous annual leave on top of bank holidays.
- Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
- Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
- Health Insurance – Private family insurance with additional OPD coverage and top-up options.
- Life & Accident Cover – Comprehensive accidental and life insurance protection.
- Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
- Volunteering & Development Days – Paid days annually for volunteering or personal growth.
- Learning & Development – Annual budget for books, courses, coaching, and more.
- WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
- Home Office Setup – Contribution towards setting up your home office
- Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
- Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).
Tidean Ways of Working
At Tide, we’re Member First and Data Driven, but above all, we’re One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We are remote first, but when you do want to meet new people, collaborate with your team or simply hang out with your colleagues, our offices are always available and equipped to the highest standard. We offer flexible working hours and trust our employees to do their work well, at times that suit them and their team.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at TideEngineering Manager
Share this job
ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE:
As an Engineering Manager at Tide,
- You’re an experienced Engineering Manager with strong technical and people-leadership skills, comfortable operating at scale and driving impact through well-designed platforms.
- You’ll lead the engineering delivery of our subscriptions platform across multiple markets, owning the technical direction and execution of systems that power subscription creation, pricing, lifecycle managements. You’ll focus on building scalable, resilient, and extensible platform capabilities that support growth and evolving business needs.
- You’ll manage and develop a team of engineers, setting clear technical standards and fostering a culture of ownership and continuous improvement. Partnering closely with Product and stakeholders across the business, you’ll turn product strategy into reliable platform solutions and ensure high-quality delivery across the full subscription lifecycle.
- You’ll be part of the Member Engagement Marketing (MEM) engineering group, working closely with Billing, Payments, Marketing, Data, and Finance teams. Together, you’ll deliver a robust and transparent subscriptions platform that enables seamless member experiences and long-term value.
WHAT WE ARE LOOKING FOR:
- Extensive experience (10+ years) building server-side applications and detailed knowledge of Java.
- Sound knowledge of a backend framework (e.g. Spring/Spring Boot)
- Experience with running microservices and implementing and consuming RESTful APIs
- Experience engineering scalable and reliable solutions in a cloud-native environment
- A mindset of delivering secure, well-tested and well-documented software
- Full ownership of your code and technical solutions across their entire lifecycle, from development to production.
- Experience integrating with various third party providers and partners
- Sound knowledge and experience working with relational databases.
- Work effectively in an agile environment, using its practices to deliver value consistently and adapt quickly.
- Ability to communicate technical concepts to a non-technical audience
- Apply continuous integration, delivery, and deployment practices in day-to-day development to deliver software reliably to production.
- A technical hands on leader who is in the details of what the team is working on day to day.
- Experience leading teams
- Experience directly managing people.
OUR TECH STACK:
- Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
- Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
- Primary datastores are PostgreSQL via RDS or Aurora (we are heavy AWS users)
- Docker, Terraform, ArgoCD and, EKS provided by the Cloud team to run the platform
- DataDog for monitoring, observability and automated SLOs
- GitHub, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first week
- Angular on Web, Flutter for our mobile app, but from time to time we use Swift and Kotlin
- Fivetran/BigQuery/Looker for the BI insights and Python/FastAPI/Faust + some ML libs for the automated decisioning and risk management
WHAT YOU’LL GET IN RETURN:
- Competitive Compensation - competitive salary and share options
- Time Off – Generous annual leave on top of bank holidays.
- Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
- Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
- Health Insurance – Private family insurance with additional OPD coverage and top-up options.
- Life & Accident Cover – Comprehensive accidental and life insurance protection.
- Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
- Volunteering & Development Days – Paid days annually for volunteering or personal growth.
- Learning & Development – Annual budget for books, courses, coaching, and more.
- WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
- Home Office Setup – Contribution towards setting up your home office
- Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
- Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).
Tidean Ways of Working
At Tide, we’re Member First and Data Driven, but above all, we’re One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We are remote first, but when you do want to meet new people, collaborate with your team or simply hang out with your colleagues, our offices are always available and equipped to the highest standard. We offer flexible working hours and trust our employees to do their work well, at times that suit them and their team.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at TideSenior Data Scientist
Share this job
ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE
You are a seasoned Data Scientist, passionate about building robust, real-time machine learning solutions to combat financial crime. Working within the Risk & Fraud Team, you will leverage advanced statistical modeling and machine learning to detect, prevent, and adapt to evolving fraud threats. You thrive on solving complex problems with highly imbalanced data and delivering tangible risk reduction impact in a fast-paced environment.
You strongly believe in agile principles and use them to deliver value incrementally. You are eager to learn about new methodologies and practices and apply them directly in your work.
As a Senior Data Scientist you’ll be:
- Model Development & Risk Mitigation: Design, develop, and implement advanced ML/Statistical models to predict and prevent various fraud typologies. Focus on driving impact by optimising costs and reducing risk using ML/Stats models.
- Specialised Data Handling: Employ advanced techniques to manage and model highly imbalanced, large datasets characteristic of the fraud domain.
- Adaptive Systems: Build and maintain models that can quickly adapt to new and evolving fraud typologies and emerging threats.
- Real-Time MLOps: Develop, optimise, and deploy ML models for real-time/low-latency inference in production settings.
- Data & Feature Engineering: Utilize, enrich, and contribute to the feature store ecosystem, ensuring high-quality, scalable features for risk models.
- Performance Monitoring: Implement and maintain robust drift monitoring and model performance tracking to ensure deployed models remain effective and stable.
- Collaboration: Work closely with ML Engineers to productionize models leveraging AWS/GCP tech stack, and collaborate with Business and Product teams to understand requirements and solutionise data products.
- Exploration: Identify creative solutions in order to build relevant training data sets and explore the value of new data structures like knowledge graphs for relational fraud detection.
WHAT ARE WE LOOKING FOR
- You have 6+ years of experience in Software Development or Machine Learning, with a strong emphasis on practical model development and deployment.
- You are Strong in Python and have expert knowledge with Machine Learning tools/libraries (e.g., scikit-learn, statmodels, TensorFlow, Keras, or PyTorch).
- You have experience with big-data technologies such as Spark, SparkML, Hadoop etc. and have handled large data in a distributed processing environment. AWS, GCP, or Azure (anyone) cloud knowledge is preferred.
- You are proficient in ML training, optimising, feature selection and engineering, hyperparameter tuning and have knowledge about trade-offs in using different algorithms.
- You have demonstrated experience in developing and deploying a variety of ML-algorithms (e.g., logistic regressions, boosted trees, neural networks) that work in real-time settings.
- You have a good working knowledge with basic data table operations (SQL etc.), and data transform in the warehouse (dbt etc.).
- You are comfortable with ambiguity and are a self-starter—you take initiative in spotting opportunities and finding ways to solve challenges with data.
- Familiarity with Financial Services and Fintech space is preferred.
- You will be helping optimise all aspects of our sales funnel including finding ways to increase lead quality, reduce our cost of acquisition, optimise lead allocation, and improve the likelihood of successful lending outcomes for our members
Highly Desirable Skills:
- Exposure to Cost-Sensitive Learning techniques, where the economic impact of prediction errors is a key optimization factor.
- A decent idea and practical exposure to MLOps principles (e.g., model versioning, continuous integration/deployment for ML).
- Experience with Drift monitoring tools and frameworks.
- Exposure to Knowledge Graphs or graph database applications.
- Competitive Compensation - competitive salary and share options
- Time Off – Generous annual leave on top of bank holidays.
- Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
- Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
- Health Insurance – Private family insurance with additional OPD coverage and top-up options.
- Life & Accident Cover – Comprehensive accidental and life insurance protection.
- Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
- Volunteering & Development Days – Paid days annually for volunteering or personal growth.
- Learning & Development – Annual budget for books, courses, coaching, and more.
- WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
- Home Office Setup – Contribution towards setting up your home office
- Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
- Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).
TIDEAN WAYS OF WORKING
At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at TideSenior Data Scientist
Share this job
ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE
You are a seasoned Data Scientist, passionate about building robust, real-time machine learning solutions to combat financial crime. Working within the Risk & Fraud Team, you will leverage advanced statistical modeling and machine learning to detect, prevent, and adapt to evolving fraud threats. You thrive on solving complex problems with highly imbalanced data and delivering tangible risk reduction impact in a fast-paced environment.
You strongly believe in agile principles and use them to deliver value incrementally. You are eager to learn about new methodologies and practices and apply them directly in your work.
As a Senior Data Scientist you’ll be:
- Model Development & Risk Mitigation: Design, develop, and implement advanced ML/Statistical models to predict and prevent various fraud typologies. Focus on driving impact by optimising costs and reducing risk using ML/Stats models.
- Specialised Data Handling: Employ advanced techniques to manage and model highly imbalanced, large datasets characteristic of the fraud domain.
- Adaptive Systems: Build and maintain models that can quickly adapt to new and evolving fraud typologies and emerging threats.
- Real-Time MLOps: Develop, optimise, and deploy ML models for real-time/low-latency inference in production settings.
- Data & Feature Engineering: Utilize, enrich, and contribute to the feature store ecosystem, ensuring high-quality, scalable features for risk models.
- Performance Monitoring: Implement and maintain robust drift monitoring and model performance tracking to ensure deployed models remain effective and stable.
- Collaboration: Work closely with ML Engineers to productionize models leveraging AWS/GCP tech stack, and collaborate with Business and Product teams to understand requirements and solutionise data products.
- Exploration: Identify creative solutions in order to build relevant training data sets and explore the value of new data structures like knowledge graphs for relational fraud detection.
WHAT ARE WE LOOKING FOR
- You have 6+ years of experience in Software Development or Machine Learning, with a strong emphasis on practical model development and deployment.
- You are Strong in Python and have expert knowledge with Machine Learning tools/libraries (e.g., scikit-learn, statmodels, TensorFlow, Keras, or PyTorch).
- You have experience with big-data technologies such as Spark, SparkML, Hadoop etc. and have handled large data in a distributed processing environment. AWS, GCP, or Azure (anyone) cloud knowledge is preferred.
- You are proficient in ML training, optimising, feature selection and engineering, hyperparameter tuning and have knowledge about trade-offs in using different algorithms.
- You have demonstrated experience in developing and deploying a variety of ML-algorithms (e.g., logistic regressions, boosted trees, neural networks) that work in real-time settings.
- You have a good working knowledge with basic data table operations (SQL etc.), and data transform in the warehouse (dbt etc.).
- You are comfortable with ambiguity and are a self-starter—you take initiative in spotting opportunities and finding ways to solve challenges with data.
- Familiarity with Financial Services and Fintech space is preferred.
- You will be helping optimise all aspects of our sales funnel including finding ways to increase lead quality, reduce our cost of acquisition, optimise lead allocation, and improve the likelihood of successful lending outcomes for our members
Highly Desirable Skills:
- Exposure to Cost-Sensitive Learning techniques, where the economic impact of prediction errors is a key optimization factor.
- A decent idea and practical exposure to MLOps principles (e.g., model versioning, continuous integration/deployment for ML).
- Experience with Drift monitoring tools and frameworks.
- Exposure to Knowledge Graphs or graph database applications.
- Competitive Compensation - competitive salary and share options
- Time Off – Generous annual leave on top of bank holidays.
- Parental Leave – Paid maternity, paternity, and adoption leave to support your family journey.
- Sabbatical – Extended unpaid and paid leave options after completing milestone years with Tide.
- Health Insurance – Private family insurance with additional OPD coverage and top-up options.
- Life & Accident Cover – Comprehensive accidental and life insurance protection.
- Mental Wellbeing – Access to therapy sessions, courses, meditations, and workshops.
- Volunteering & Development Days – Paid days annually for volunteering or personal growth.
- Learning & Development – Annual budget for books, courses, coaching, and more.
- WOO (Work Outside the Office) – Work from abroad for up to 90 days annually.
- Home Office Setup – Contribution towards setting up your home office
- Laptop Ownership – Keep your old laptop and get a new one when it’s time for a replacement.
- Snacks & Meals – Office perks with snacks, coffee, tea, and lunch (location dependent).
TIDEAN WAYS OF WORKING
At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at TideSenior Staff Software Engineer, Agentic Platform
Share this job
ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
We are hiring across multiple locations
India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin
ABOUT TIDE
At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.
Tide is transforming the small business banking market with over 1.8 million members globally across the UK, India, Germany and France.
Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to serve our mission: to help SMEs save both time (and money) so they can get back to doing what they love.
Tide facts:
- Tide is available for UK, Indian, German and French SMEs
- Over 1.8 million members: 800,000 UK and 1,000,000 in India and growing rapidly
- Over $300 million raised in funding
- Over 2,500 Tideans globally - we’re diversity champions!
- We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, and in Berlin, Paris and Luxembourg.
ABOUT THE ROLE:
Tide is hiring a Senior Staff Software Engineer to lead the architecture of our agentic platform. You will shape the shared capabilities that allow AI systems to operate safely, reliably, and at scale across Tide. That includes context, orchestration, tool execution, trust controls, observability, and evaluation. You will participate in key build versus buy decisions, integrate external components where they accelerate us, and ensure we own the parts that matter most for Tide’s trust, data advantage, and long-term platform leverage.
As a Senior Staff Engineer you’ll:
- Define the architecture for Tide’s agentic platform
- Drive the design of shared services such as context APIs, tool layers, policy controls, and auditability
- Partner with product, data, security, and engineering teams to turn use cases into reusable platform capabilities
- Set standards for reliability, safety, scalability, and developer experience
- Provide technical leadership across teams and unblock critical decisions
- Implement cost-management and routing logic to optimize LLM spend across different providers
- Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories
WHAT WE ARE LOOKING FOR:
- Deep experience building platform or infrastructure systems at scale
- Strong judgement across APIs, distributed systems, data, and cloud-native architecture
- Track record of leading complex cross-team technical problems
- Experience integrating third-party platforms without losing control of core architecture
- Strong understanding of reliability, security, and observability
- Experience with AI platform components is valuable, but not essential
- Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is highly desirable
Our Tech Stack:
- Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
- Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
- Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
- Docker, Terraform, EKS used by the Cloud team to run the platform
- DataDog and Rollbar to keep it running
- GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
- Angular 2+ with ngrx on Web, Flutter for the Mobile App
- Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management
TIDE IS A PLACE FOR EVERYONE
At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
- Tide does not charge any fees at any stage of the recruitment process.
- All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
- Communication from Tide will only come from an official @tide.co email address.
- Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.
If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at talent@tide.co
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.
Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.
Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
Ready to apply?
Apply to Careers at Tide