Role: Salesforce Team Lead
Location: India, Remote / Hybrid
Experience: 8–12 Years
Algoworks
About the Company
Algoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. We bring together a global team of engineers, architects, designers, researchers and operators united by rigor, accountability and a commitment to delivering measurable results.
For over 20 years, Algoworks has partnered with Fortune 500 organizations across the Americas, Europe and Asia to define, build and run technology that drives meaningful business outcomes. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement.
At Algoworks, growth is continuous and closely tied to impact. Teams collaborate across geographies and disciplines, strengthening outcomes through shared insight and collective expertise. The culture values transparency, open dialogue and an environment where every voice is heard and contribution is recognized.
Through collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but strong global teams that elevate performance and create lasting impact.
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Role Overview
We are looking for an experienced Salesforce Technical Lead with 8–12 years of Salesforce ecosystem experience and a proven track record of working with enterprise clients, leading technical teams, and delivering complex Salesforce implementations.
The ideal candidate will possess strong hands-on development expertise, excellent solution design capabilities, solid knowledge of Salesforce DevOps and CI/CD practices, and the ability to translate complex business requirements into scalable, secure, and maintainable technical solutions.
The candidate will lead and mentor Salesforce developers, conduct client-facing technical discussions, drive architectural decisions, and manage end-to-end technical delivery. Knowledge of Salesforce Agentforce, AI-powered solutions, and emerging Salesforce AI capabilities is highly desirable. Experience with enterprise clients in the Financial Services or Banking domain will be a significant advantage.
Key Responsibilities
1. Technical Leadership & Team Management
- Lead and mentor Salesforce developers, providing technical direction, code-level guidance, and continuous knowledge sharing.
- Own technical delivery across Salesforce projects, ensuring quality, scalability, maintainability, and adherence to established standards.
- Conduct code reviews, design reviews, technical walkthroughs, and development quality assessments.
- Break down business requirements into technical tasks, estimate effort, allocate work, and track execution.
- Identify technical risks, resolve complex challenges, and drive timely resolution of critical production issues.
- Promote engineering best practices and continuous improvement across development teams.
2. Solution Design & Architecture
- Lead requirement analysis, technical discovery sessions, solution design discussions, and technical workshops with enterprise clients.
- Translate business and functional requirements into scalable Salesforce technical designs and implementation approaches.
- Design solutions covering Salesforce customization, integrations, automation, data models, security, and system performance.
- Evaluate alternative technical approaches and recommend solutions based on scalability, maintainability, security, and business value.
- Prepare and review technical design documents, integration specifications, estimates, and implementation plans.
- Identify dependencies, integration challenges, platform limitations, and opportunities for optimization.
3. Enterprise Client Engagement
- Work directly with client stakeholders, architects, business analysts, project managers, and technical teams.
- Lead technical discussions, present solution recommendations, manage expectations, and address client concerns.
- Communicate complex technical concepts effectively to technical and business audiences.
- Collaborate with distributed teams across geographies and support delivery aligned with US business hours.
- Contribute to technical estimations, solution proposals, pre-sales discussions, and feasibility assessments when required.
4. Salesforce Development & Platform Expertise
- Provide hands-on technical guidance and contribute to complex development using Apex, Lightning Web Components (LWC), Aura, Visualforce, SOQL/SOSL, Flows, and Salesforce APIs.
- Design and implement custom Salesforce functionality, asynchronous processing, event-driven solutions, and enterprise integrations.
- Work with Batch Apex, Queueable Apex, Scheduled Apex, and Platform Events.
- Ensure appropriate implementation of Salesforce security, sharing models, governor-limit optimization, and platform best practices.
- Troubleshoot complex application issues and drive performance optimization across Salesforce implementations.
5. DevOps, Release Management & Engineering Excellence
- Apply Salesforce DevOps best practices, including version control, branching strategies, CI/CD pipelines, and release management.
- Work with Salesforce DX, Git/GitHub, VS Code, and deployment tools such as Copado, AutoRABIT, Gearset, or Jenkins.
- Drive deployment automation, code quality checks, release planning, environment management, and deployment troubleshooting.
- Collaborate with QA and release teams to improve deployment reliability, reduce manual effort, and maintain release quality.
- Promote engineering standards, automation, and continuous improvement throughout the development lifecycle.
6. Salesforce AI & Agentforce
- Demonstrate an understanding of Salesforce Agentforce, agentic AI, and AI-enabled business process automation.
- Evaluate how Agentforce can integrate with Salesforce workflows, business processes, and enterprise data.
- Contribute to the evaluation, design, and implementation of AI-powered Salesforce solutions.
- Understand Prompt Builder, Data Cloud, grounding, AI agent configuration, and responsible AI practices.
- Support Agentforce implementation initiatives where required.
7. Delivery Governance & Cross-Functional Collaboration
- Manage technical dependencies, delivery risks, code quality, and production issues.
- Balance hands-on technical contributions with team leadership and delivery ownership.
- Collaborate with project managers, architects, QA, DevOps, and business stakeholders to achieve delivery objectives.
- Support Agile/Scrum practices, sprint planning, release coordination, and technical delivery reviews.
- Drive continuous improvement in development processes, solution quality, and engineering efficiency.
Required Technical Skills & Competencies
- 8–12 years of overall experience in the Salesforce ecosystem, with strong hands-on Salesforce development expertise.
- Proven experience working with enterprise clients and delivering complex Salesforce implementations.
- Prior experience leading Salesforce developers and mentoring technical team members.
- Strong hands-on experience with Apex, Lightning Web Components (LWC), Aura, Visualforce, SOQL/SOSL, and Salesforce Flows.
- Experience with Batch Apex, Queueable Apex, Scheduled Apex, Platform Events, and asynchronous processing.
- Strong understanding of REST/SOAP APIs, Named Credentials, OAuth, and enterprise integrations.
- Strong knowledge of Salesforce security, sharing models, governor limits, performance optimization, and data modelling.
- Strong experience with Sales Cloud and Service Cloud.
- Experience with solution design, technical discovery, effort estimation, and translating business requirements into implementation plans.
- Solid understanding of Salesforce DevOps, CI/CD, release management, and deployment automation.
- Hands-on experience with Git/GitHub, Salesforce DX, VS Code, and automated deployment tools.
- Understanding of Salesforce Agentforce and AI-powered Salesforce capabilities.
- Strong client-facing communication, technical leadership, and problem-solving skills.
- Ability to manage technical dependencies, delivery risks, and production issues.
Must-Have Skills
- Salesforce Development
- Apex
- Lightning Web Components (LWC)
- SOQL/SOSL
- Salesforce Flows
- Salesforce Sales Cloud
- Salesforce Service Cloud
- REST/SOAP APIs and Enterprise Integrations
- Salesforce Security & Sharing Models
- Salesforce Solution Design & Technical Architecture
- Salesforce DevOps & CI/CD
- Git/GitHub and Salesforce DX
- Code Reviews & Technical Leadership
- Effort Estimation & Technical Delivery
- Client-facing Technical Discussions
- Team Mentoring & Problem-Solving
- Salesforce Platform Developer I (PD1) Certification
- Salesforce Platform Developer II (PD2) Certification
Good to Have Skills
- Salesforce Experience Cloud
- Salesforce Financial Services Cloud (FSC)
- Salesforce Marketing Cloud
- Salesforce Revenue Cloud
- Salesforce Administrator Certification
- Salesforce Sales Cloud Certification
- Salesforce Service Cloud Certification
- Salesforce Application Architect Certification
- Salesforce Agentforce and AI-powered implementations
- Prompt Builder, Data Cloud, grounding, and AI agent configuration
- MuleSoft, Boomi, or similar middleware platforms
- Copado, AutoRABIT, Gearset, or Jenkins
- Experience in Financial Services, Banking, Insurance, or regulated enterprise environments
- Agile/Scrum delivery practices
- Pre-sales solutioning and technical feasibility assessments
Desired Attributes
- Strong leadership, mentoring, and team management capabilities.
- Excellent verbal and written communication skills.
- Exceptional solutioning, analytical, and problem-solving abilities.
- Ability to independently lead technical discussions with enterprise clients.
- Strong ownership, accountability, and decision-making skills.
- Ability to manage competing priorities while maintaining technical quality and delivery commitments.
- Collaborative mindset with a focus on continuous improvement and engineering excellence.
- Ability to balance hands-on development with technical leadership.
- Comfortable working with global teams and overlapping US business hours.
- Interest in emerging Salesforce technologies, Agentforce, and AI-driven solutions.
Interview Process
2-3 rounds of discussion.