Salesforce Developer

Location: Mumbai, Maharashtra, India

Sector: Technology, Information & Media

Company Size: 500 - 1,000 Employees

Employment: Full-Time, Permanent

Experience: 10 - 14 Years (Engineering Leadership)

Level: Engineering Manager / Group EM

ABOUT THIS MANDATE :

Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.

This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.

We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.

THE OPPORTUNITY AT A GLANCE :

AI-First Engineering Culture :

• Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.

Hands-On Engineering Leadership :

• Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.

People & Org Builder :

• Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.

KEY RESPONSIBILITIES :

1. Hands-On Technical Engagement :

• Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
• Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
• Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
• Identify and resolve systemic technical debt and architectural risks across team-owned services
• Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
• Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability

2. AI Adoption, Integration & Transformation (2026 Mandate) :

• Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
• Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
• Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
• Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
• Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
• Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
• Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
• Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications

3. People Leadership & Team Development :

• Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
• Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
• Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
• Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
• Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
• Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
• Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering

4. Engineering Delivery & Execution Excellence :

• Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
• Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
• Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
• Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
• Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
• Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership

5. Strategic Leadership & Cross-Functional Influence :

• Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
• Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
• Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
• Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
• Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
• Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use

AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :

In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :

AI Developer Productivity

• Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.

LLM & GenAI Product Features

• Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.

AI-Augmented Observability

• Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.

Team AI Fluency :

• Build mandatory AI literacy across all engineering levels.
• Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.

Responsible AI Governance :

• Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.

TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :

• Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
• Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
• AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
• Copilot: Cursor /Hugging Face
• Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
• Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
• Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
• MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
• Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
• CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)

QUALIFICATIONS & CANDIDATE PROFILE :

Education :

• B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
• Demonstrated engineering depth and leadership impact may complement institution pedigree

Experience :

• 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
• Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
• Hands-on backend engineering background must be able to read, write, and critique production code
• Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
• Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
• Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
• Demonstrated career stability minimum of 2 years of average tenure per organisation.

The Ideal Engineering Manager in 2026 :

• Leads with context, not control, empowers engineers while maintaining accountability and quality
• Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
• Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
• Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
• Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
• Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
• Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites

WHY THIS ROLE STANDS APART :

AI Transformation at Scale :

• Lead one of the most significant AI adoption programmes in India's digital media sector.
• Our decisions will shape how hundreds of engineers work in 2026 and beyond.

Hands-On & Strategic Balance :

• A rare EM role that actively encourages technical depth.
• Stay close to the code while owning the people agenda - the best of both worlds.

Established Platform, Real Scale :

• 5001,000 engineers, proven product-market fit, and the org maturity to execute.
• This is not a greenfield startup gamble it is a serious company with serious ambition.

Clear Leadership Growth Path :

• A visible, direct path toward Director / VP of Engineering.
• Senior leadership is invested in growing its next generation of technology executives.

What You'll Do (Key Responsibilities):

• Execute high-impact off-page SEO activities: Social bookmarking, Directory submissions, Forum participation, Blog commenting & outreach.
• Perform regular website audits & checks to spot opportunities and issues.
• Handle strategic submissions on top B2B platforms, niche directories, and high-authority sites to boost backlinks and domain authority.
• Collaborate with the team to support overall organic growth and track performance.
• 
  

Who We're Looking For (Must-Haves):

• Excellent English writing skills – you can craft natural, engaging comments, profiles, and outreach messages.
• Strong computer & browsing proficiency – fast researcher who knows how to navigate the web efficiently.
• Solid understanding of internet tools, search engines, forums, and online communities.
• Detail-oriented, self-motivated, and eager to learn the latest off-page trends.

Review Criteria

• Strong Lead – User Research & Analyst profile (behavioural/user/product/ux analytics)
• 10+ years of experience in Behavioral Data Analytics, User Research, or Product Insights, driving data-informed decision-making for B2C digital products (web and app).
• 6 months+ experience in analyzing user journeys, clickstream, and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, Firebase, or Amplitude.
• Experience in leading cross-functional user research and analytics initiatives in collaboration with Product, Design, Engineering, and Business teams to translate behavioral insights into actionable strategies.
• Strong expertise in A/B testing and experimentation, including hypothesis design, execution, statistical validation, and impact interpretation.
• Ability to identify behavioral patterns, funnel drop-offs, engagement trends, and user journey anomalies using large datasets and mixed-method analysis.
• Hands-on proficiency in SQL, Excel, and data visualization/storytelling tools such as Tableau, Power BI, or Looker for executive reporting and dashboard creation.
• Deep understanding of UX principles, customer journey mapping, and product experience design, with experience integrating qualitative and quantitative insights.

Preferred

• Ability to build insightful dashboards and executive reports highlighting user engagement, retention, and behavioral metrics; familiarity with mixed-method research, AI-assisted insight tools (Dovetail, EnjoyHQ, Qualtrics, UserZoom), and mentoring junior researchers

Job Specific Criteria

• CV Attachment is mandatory
• We have an alternate Saturday’s working. Are you comfortable to WFH on 1st and 4th Saturday?

Role & Responsibilities

Product Conceptualization & UX Strategy Development:

• Conceptualize customer experience strategies
• Collaborate with product managers to conceptualize new products & align UX with product roadmaps.
• Develop and implement UX strategies that align with business objectives.
• Stay up-to-date with industry trends and best practices in UX & UI for AI.
• Assist in defining product requirements and features.
• Use data analytics to inform product strategy and prioritize features.
• Ensure product alignment with customer needs and business goals.Develop platform blueprints that include a features and functionalities map, ecosystem map, and information architecture.
• Create wireframes, prototypes, and mock-ups using tools like Figma
• Conduct usability testing and iterate designs based on feedback
• Employ tools like X-Mind for brainstorming and mind mapping

Customer Journey Analysis:

• Understand and map out customer journeys and scenarios.
• Identify pain points and opportunities for improvement.
• Develop customer personas and empathy maps.

Cross-Functional Collaboration:

• Work closely with internal units such as UX Research, Design, UX Content, and UX QA to ensure seamless delivery of CX initiatives.
• Coordinate with development teams to ensure UX designs are implemented accurately.

Data Analytics and Tools:

• Utilize clickstream and analytics tools like Google Analytics, CleverTap, and Medallia to gather and analyse user data.
• Leverage data to drive decisions and optimize customer experiences.
• Strong background in data analytics, including proficiency in interpreting complex datasets to inform UX decisions.

Ideal Candidate

• Bachelor’s or Master’s degree in a relevant field (e.g., UX Design, Human-Computer Interaction, Computer Science, Marketing).
• 5+ years of experience in CX/UX roles, preferably in a B2C environment.
• Proficiency in analytics tools (Google Analytics, CleverTap, Medallia, Hotjar, etc).
• Strong understanding of wireframing and prototyping tools (Figma, XMind, etc).
• Excellent communication and collaboration skills.
• Proven experience in managing cross-functional teams and projects.
• Strong background in data analytics and data-driven decision-making.
• Expert understanding of user experience and user-centered design approaches
• Detail-orientation with experience and will to continuously learn, adapt and evolve
• Creating and measuring the success and impact of your CX designs
• Knowledge of testing tools like Maze, UsabiltyHub, UserZoom would be a plus
• Experienced in designing responsive websites as well as mobile apps
• Understanding of iOS and Android design guidelines
• Passion for great customer-focus design, purposeful aesthetic sense and generating simple solutions to complex problems.
• Excellent communication skills to be able to present their work and ideas to the leadership team.

Basic Qualifications :

● Experience: 4+ years.

● Hands-on development experience with a broad mix of languages such as JAVA, Python, JavaScript, etc.

● Server-side development experience mainly in JAVA, (Python and NodeJS can be considerable)

● UI development experience in ReactJS or AngularJS or PolymerJS or EmberJS, or jQuery, etc., is good to have.

● Passion for software engineering and following the best coding concepts.

● Good to great problem solving and communication skills.

Nice to have Qualifications :

● Product and customer-centric mindset.

● Great OO skills, including design patterns.

● Experience with devops, continuous integration & deployment.

● Exposure to big data technologies, Machine Learning and NLP will be a plus.

• Supporting the Executive Creative Director and the Creative Team with the development of concepts,

strategies, and client presentations.

• Bring an ability to think and understand copy

• Directing the design and development of creative materials.

• Ensuring brand identity and message consistency across channels.

• Keeping up with the latest trends, strategies, and technologies.

• 3+ years of experience in Technology.
• A strong product design sense.
• Good experience in working with programming language Golang.
• Understand end-user requirements, formulate use cases and come up with effective solutions.
• Good understanding of REST APIs and the web in general.

-Strong understanding of Swift & Objective-C, MVC/MVVM, and Cocoa APIs/frameworks

-Experience with AVFoundation, CoreData,Core location, CoreAnimation, CoreGraphics, NSURLSession,

iOS background modes, tvOS, JSON, CocoaPods,3D touch.

-Familiarity with RESTful APIs to connect iOS applications to back-end services.

-Strong understanding of Apple's design principles and interface guidelines.

-Strong understanding of auto layout and UI implementation.

-Strong understanding of Git.

-Understanding of the full mobile development life cycle.

-Experience with third-party libraries and APIs.

-Establish unit-test code for robustness, including edge cases, usability, and general reliability.

-Knowledge in making network calls using Alamofile(swift), AFNetworking(Objective - C), and using native

NSURLSession.

-Good debugging skills and knowledge to use Instruments App.

-App store deployment and certificate management knowledge.

-Knowledge in Firebase Real-Time dB and FCM will be a plus.

-Experience in implementing universal linking in iOS.

• Design, development, and testing of new features in the applications
• Responsible for regular communication with others involved in the development process
• Implement, Unit test, bug-fix and refactor functionality
• Responsibility for design and implementation of software projects using C#
• Participate as a team member in fully agile Scrum deliveries
• Provide support to end users
• Design, build, and maintain efficient and reliable C# code
• Must have worked on Multithreading.
• Must have worked on WPF

• Build our strategic affiliate network through recruiting new affiliate & Influencer partners and actively managing relationships with our existing strategic partners, to provide quality business leads and cost-effective Lead acquisition.
• Setup, tracking, reporting, and manage affiliate program activity.
• Full management of lifecycle marketing for affiliate & Influencer
• partners.
• Generate monthly, weekly and quarterly reports along with analysis
• Ensure invoicing and payment schedules are current and on time, providing forecasting support for the business.
• Continually measure and optimize the overall program ROI
• Doing industry research and sourcing opportunities for overall business development
• Build a repository for effective sales pitches.
• Meet monthly, quarterly, annual revenue targets

Desired Profile of the candidate

• A self-starter who's comfortable working autonomously
• Experience in using affiliate tracking platforms
• Ahead for numbers, easily able to extract key insights from data
• Has to experience in creating pivots and using MS Excel overall
• Team player with a drive to help other people
• Ability to analyze data and give recommendations
• Work with multiple stakeholders for the flow of information and business process
• A passion for achieving targets