Marketing Manager for a SAAS based Startup in Bangalore

• Developing change management plans for projects and/or change initiatives.
• Evaluating the impact of planned organisational change.
• Identifying risks and developing risk mitigation tactics.
• Identifying and managing anticipated resistance to change.
• Leading change management work streams with a structured methodology / process.
• Supporting development of communications relevant to change initiatives.
• Providing coaching and training to employees at all levels.
• Defining success metrics and measuring performance against these.
• Providing reporting and other updates to management and project teams.

Job Title: Principal Automation Engineer (AI)

Deltek is seeking a Principal Automation Engineer with deep expertise in AI-native test automation to help shape the quality engineering foundation Deltek’s next-generation, AI-first ERP platform for project-based businesses. This is not a role for someone who automates feature regression. It is a role for someone who can harness AI tools to build intelligent automation frameworks that reason, adapt, and self-heal.

You will be the automation architect behind Deltek’s in-house AI-native test automation platform combining Playwright with LLM-powered agents (Planner, Generator, Healer). You will extend, evolve, and industrialize this framework, integrating AI tools at every layer: test generation, self-healing selectors, LLM-as-a-Judge evaluation, and CI/CD-gated quality pipelines.

If you are fluent in Playwright, agentic AI workflows, and modern test engineering — and want to build something genuinely new rather than maintain legacy frameworks — we invite you to join our team. ERP domain knowledge is a strong plus and will accelerate your impact.

Responsibilities:

Architect and evolve the AI-native automation framework — extending Playwright-based agents with LLM-powered planning, test generation, and self-healing capabilities.

Use AI tools extensively (Claude, GitHub Copilot, LLM APIs) to design, generate, and augment automation suites — reducing human authoring effort while increasing scenario coverage.

Build and maintain Playwright agent pipelines for end-to-end workflow automation across Deltek’s Projects, Workforce Management, and Financials modules.

Integrate LLM-as-a-Judge (LLMaaJ) evaluation into the test pipeline to automatically score AI-generated outputs, detect hallucinations, and validate response quality against golden datasets.

Design and implement AI safety and correctness test cases: hallucination detection, bias testing, output guardrail validation, and behavioral consistency across edge cases.

Own the CI/CD automation pipeline (GitHub Actions / Azure DevOps) for AI-enabled releases — including regression gates, model-response validation, and automated quality dashboards in ReportPortal and Grafana.

Validate AI/ML outputs including prediction accuracy, recommendation relevance, natural-language responses, and inference API payloads.

Build and maintain golden datasets for AI drift detection, regression baselines, and LLM evaluation benchmarks.

Collaborate with Product Managers, AI/ML Engineers, and QE leads to define AI feature release quality gates and automation coverage targets.

Mentor QE team members on AI-assisted automation patterns, agentic testing concepts, and framework best practices.

Contribute to test strategy for data migration validation of schema fidelity and record correctness.

Qualifications:

BS/MS degree in Computer Science, Software Engineering, or a related field.

Relevant certifications in software quality, AI/ML, or cloud engineering are advantageous.

Experience:

8+ years of experience in test automation engineering, with at least 3+ years working with AI/LLM-based systems or agentic automation frameworks.

Proven hands-on experience with Playwright — including Playwright agents, fixtures, and API testing integration.

Demonstrated experience using AI tools (Claude API, OpenAI, GitHub Copilot, or equivalent) to accelerate test authoring, framework design, or output evaluation.

Track record of designing and implementing AI-based automation solutions — not just using automation tools, but building the frameworks others use.

Experience integrating automation into CI/CD pipelines (GitHub Actions, Jenkins, or Azure DevOps).

Experience with performance, scalability, or data-drift testing of AI features in production or pre-production ERP contexts.

ERP domain knowledge (Project Accounting, Financials, Payroll, Time & Expense) is a strong plus and will significantly accelerate onboarding and impact.

Good-to-Have Skills:

Familiarity with Ajera, Costpoint, Vantagepoint, or comparable project-based ERP systems.

Understanding of LLM fine-tuning, RAG pipelines, vector databases, and embeddings from a QA/validation perspective.

Experience building or working with self-healing automation frameworks or AIOps tooling.

Exposure to security testing for AI systems — prompt injection, output sanitization, guardrail bypass testing.

Familiarity with data privacy and compliance frameworks in AI-enabled enterprise software.

Technical Qualifications:

Deep, hands-on proficiency with Playwright — including agentic patterns, multi-step workflow automation, and integration with LLM backends.

Proficiency in TypeScript and/or Python for building automation frameworks, AI evaluation utilities, prompt-testing harnesses, and data-driven test pipelines.

Strong understanding of LLM/ML concepts from a QA perspective: prompt engineering, hallucination detection, output scoring, explainability validation, behavioral consistency testing.

Experience with REST and GraphQL API testing, including automated evaluation of LLM inference API payloads and AI-generated JSON responses.

Familiarity with ReportPortal, Grafana, or equivalent for test execution dashboards and quality metric visualization.

Strong SQL skills for data validation, training dataset verification, and ERP data pipeline testing.

Working knowledge of GitHub Actions and Azure DevOps (ADO/TFS) for CI/CD pipeline integration and issue tracking.

Good understanding of Agile/Scrum practices and AI model release cycles — shadow mode, A/B comparison, phased rollout validation.

Soft Skills:

Framework-builder mindset: thinks in systems, not scripts — builds what others use rather than executing what others built.

Strong communication skills: able to explain AI validation concepts clearly to engineers, product managers, and QE team members.

High ownership and self-direction: identifies automation gaps proactively and drives coverage improvements without waiting to be asked.

Collaborative and generous with knowledge: invests in mentoring team members and raising the team’s automation maturity.

Continuous learner: actively tracks the evolving AI tooling ecosystem and brings new techniques into the framework.

Able to manage multiple priorities in a fast-paced, distributed team environment.

Join Deltek and be at the forefront of how modern ERP quality engineering is done. You will help build the AI driven current automation framework into an industry-leading AI-native automation platform — combining Playwright agents, LLM-powered test generation, self-healing infrastructure, and intelligent quality gates.

Review Criteria

• Strong Product Manager Profiles
• 7+ years of product management experience, of which 2+ years in healthcare, pharmaceutical, life sciences, or AdTech domains
• Must have built or scaled products involving Data Science, Machine Learning, or AI
• Must have experience working end-to-end on product lifecycle — strategy, roadmap, development execution, stakeholder alignment, user research, product optimization, and adoption (0 to 1 product experience is preferred)
• Hands-on experience collaborating with engineering, data science, design, supply teams, and demand-side teams on parallel product initiatives
• Must have a strong understanding of demand-side and supply-side mechanisms, programmatic advertising, data intelligence products, or marketplace platforms
• Experience in companies serving Healthcare Professionals (HCPs), Pharma, Life Sciences, or HealthTech advertising is a must
• Top/Well known Product companies (preferably in HealthTech)
• CTC includes 20% variable
• HealthTech exposure is a must (current or past experience)
• Its an IC role

Preferred

• Experience working on AI-driven features such as predictive models, segmentation, personalization, or automated optimization

Job Specific Criteria

• CV Attachment is mandatory
• What is your preferred location — Noida or Mumbai?
• If you’re based in Mumbai, are you comfortable traveling to the Noida office for one week each month?
• Are you available for an in-person interview for one of the rounds?
• Which HealthTech company(ies) you have worked for?

Role & Responsibilities

We are seeking a visionary and technically savvy Principal Product Manager to lead the strategy, development, and growth of our Identity Resolution products, including the HCP Graph, probabilistic and deterministic identity solutions, and data partner integrations. This role sits at the intersection of data, product, and healthcare advertising, giving you the opportunity to shape how company identifies, unifies, and activates HCP audiences across the ecosystem. You will define the future of identity in healthcare marketing and play a pivotal role in building products that maximize both privacy compliance and advertiser ROI.

Key Responsibilities-

Product Strategy & Vision:

• Define and evangelize the vision for company's identity resolution products and HCP data graph.
• Build a product roadmap that balances technical innovation, market differentiation, and business impact.
• Conduct competitive research and explore emerging identity technologies to ensure company remains at the cutting edge of HCP data solutions.

Product Development & Execution:

• Lead end-to-end product lifecycle: ideation, requirement definition, development, launch, and iteration.
• Collaborate with engineering and data science teams to design scalable identity solutions leveraging first-party, third-party, and probabilistic signals.
• Author high-quality PRDs, user stories, and acceptance criteria, ensuring clarity for cross-functional teams.
• Drive integration strategy with data partners, DSPs, and other activation channels to expand company's reach and addressability.

Data & Privacy Expertise:

• Develop solutions that unify HCP identities across platforms while maintaining strict compliance with privacy regulations like HIPAA, GDPR, CCPA, and industry-specific rules.
• Ensure high identity match rates, data quality, and robust governance frameworks.
• Explore advanced techniques such as probabilistic linking, email-based resolution, and graph modeling to continuously improve audience unification.

User Experience & Enablement:

• Collaborate with UX designers to simplify complex workflows for internal teams and clients managing HCP audiences.
• Provide clear product documentation, training, and enablement materials to maximize adoption.

Performance & Optimization:

• Define metrics for success (match rate, segment addressability, HCP coverage, platform adoption) and continuously optimize solutions.
• Use data-driven insights to iterate on products, identify gaps, and enhance identity resolution accuracy and reliability.

Ideal Candidate

• Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field.

Experience:

• 7+ years in product management, with significant experience owning data-centric products, preferably identity resolution, CDPs, DMPs, or large-scale data systems in AdTech/MarTech.
• Proven track record in data integration, audience unification, or identity resolution products.

Skills & Expertise:

• Strong knowledge of identity systems: deterministic and probabilistic matching, identity graphs, email-based resolution, hashed identifiers, device IDs, and consent management.
• Deep understanding of healthcare and HCP data ecosystems is a plus.
• Ability to translate complex technical solutions into clear product strategy and business impact.
• Exceptional stakeholder management, communication, and leadership skills.
• Strong analytical mindset with experience in SQL, data modeling, or analytics.
• Comfort operating in a fast-paced, high-growth environment and leading cross-functional initiatives.

Nice-to-Haves:

• Hands-on experience with machine learning for audience modeling or lookalike targeting.
• Familiarity with privacy-enhancing technologies, clean rooms, and data encryption.
• Experience building and scaling HCP identity graphs or multi-source data unification platforms.

About Searce

Searce is a global, AI-native, engineering-led technology consultancy and a Premier Google

Cloud Partner — recognized as the Google Cloud Workplace AI Transformation Partner of the

Year, APAC (2026). With 20+ years of experience and 3,000+ clients across 10+ countries, we

help businesses stay ahead of the cloud curve.

The Role

We're looking for a Lead Cloud Security & Reliability Engineer with deep GCP expertise to own

end-to-end cloud reliability and security forAPAC enterprise clients. As Lead, you'll set the architectural direction, mentor your squad, and drive measurable client outcomes across multi-

cloud environments.

What You'll Do

Own Client Delivery — Lead 24x7 GCP cloud operations forAPAC clients. Define SLO frameworks and ensure adherence.

Architect Solutions — Design scalable, secure GCP-primary architectures with multi-cloud awareness.

Drive Reliability — Lead incident response, RCA, and long-term remediation across production systems.

Mentor & Elevate — Coach and grow a squad of Senior CSREs.

Drive FinOps — Own cloud cost governance and optimization with quantified impact.

Be the Expert — Represent Searce's technical depth in global client conversations.

What We're Looking For

Experience

7–12 years total with 5+ years on GCP cloud infrastructure

Strong background in Cloud Managed Services / MSP environments

Proven experience leading a team in client-facing delivery

Multi-cloud exposure (AWS/Azure secondary) preferred

Technical Skills (Must-Have)

• GCP: GKE, IAM, VPC, Cloud Monitoring, Stackdriver, KMS — demonstrated in work
• experience
• Kubernetes: GKE — production cluster management, Helm
• IaC: Terraform — module-level, reusable frameworks
• Observability: Prometheus, Grafana, Thanos or equivalent
• Security: IAM, Zero-trust, DevSecOps, CSPM tools
• Scripting: Python or Go
• FinOps: GCP cost governance demonstrated

Nice to Have

• GCP Professional Cloud Architect / Pro DevOps Engineer certification
• AWS / Azure secondary experience
• CKA (Certified Kubernetes Administrator)
• ITIL / change management awareness
• APAC client delivery experience

Why Searce?

🏆 Google Cloud Partner of the Year — APAC 2026

🌍 Work with APAC enterprise clients across multiple industries

🤖 AI-first, engineering-led culture

📈 Lead-level ownership with real career growth

🤝 HAPPIER values — Humble, Adaptable, Positive, Passionate, Innovative, Excellence,

Responsible

We are looking for a skilled and motivated MERN Stack Developer to join our development team. The ideal candidate will have hands-on experience in building scalable web applications using MongoDB, Express.js, React.js, and Node.js, and a passion for writing clean, efficient, and maintainable code.

Key Responsibilities

• Design, develop, and maintain full-stack web applications using the MERN stack
• Build responsive and reusable UI components using React.js
• Develop RESTful APIs and backend services using Node.js and Express.js
• Work with MongoDB for data modeling, queries and performance optimization
• Collaborate with UI/UX designers, product managers, and other developers
• Write clean, well-documented and testable code
• Debug, troubleshoot and optimize application performance
• Participate in code reviews and follow best development practices
• Stay updated with emerging technologies and industry trends

Required Skills & Qualifications

• 1–5 years of experience in MERN stack development
• Strong proficiency in JavaScript.
• Hands-on experience with React.js, including hooks and component lifecycle
• Experience with Node.js and Express.js
• Good understanding of MongoDB and NoSQL databases
• Experience in building and consuming REST APIs
• Proficient in HTML5, CSS3, and building responsive, cross-browser user interfaces.
• Experience with Git/GitHub or other version control systems in a collaborative development environment.
• Solid understanding of authentication, authorization, and security best practices

• l IT experience delivering enterprise-scale applications or product implementations
•  experience working as a technical lead.

• Working Experience in ISO20022, SWIFT, Remittance
• Language & Frameworks: Java, Spring Boot, Spring, Any ORM