Lead and inspire engineering teams, oversee AI-integrated projects, and ensure high performance in product delivery and operational excellence.
Who we are
Mindtickle is the market-leading revenue productivity platform that combines on-the-job learning and deal execution to get more revenue per rep. Mindtickle is recognized as a market leader by top industry analysts and is ranked by G2 as the #1 sales onboarding and training product. We’re honoured to be recognized as a Leader in the first-ever Forrester Wave™: Revenue Enablement Platforms, Q3 2024!
Job Snapshot
We are looking for a seasoned Senior Engineering Manager (7–11 years of experience) to lead, scale, and inspire high-performing engineering teams. You will be responsible for the delivery of mission-critical products while fostering a culture of technical excellence and high-agency performance.
This is a core engineering leadership role that sits at the intersection of technical strategy and operational execution. While you will lead a broad range of engineering initiatives, you will also oversee key AI-integrated projects, requiring a solid understanding of how to manage the unique lifecycles of AI-based features. Furthermore, you will be expected to champion AI-powered optimization of our internal engineering processes to drive team velocity.
This role is for you if:
- You believe that a high-performing team is built on trust, high agency, and the removal of administrative friction.
- You are an engineer at heart who can go deep on architectural trade-offs, write exemplary code, do thought-provoking code reviews, and thus, lead by example. You should be a sought-after person for high-stakes incident debugging sessions.
- You thrive on the challenge of implementing solutions at scale while maintaining a positive, growth-oriented team vibe.
- You have a "Product Mindset" and realize that the best code is the code that solves a real customer problem.
- You will partner directly with Product and Program management to identify risks and define the future, but your primary mission is to be a performance multiplier—ensuring your team has the clarity, energy, and technical standards to win.
- Tech stack you will get exposure to: GoLang, Java, Python, NodeJS, Serverless Technologies (AWS Lambda, AWS Step Functions), Kafka.
What’s in it for you?
- Execution & Delivery: Own the end-to-end delivery of mission-critical products, ensuring team commitments are met with high velocity and quality.
- Strategic Alignment: Partner with Product and Business to define roadmaps and translate customer needs, including AI-integrated features, into actionable engineering plans.
- High-Performance Leadership: Hire, mentor, and develop a diverse team of engineers, fostering a culture of high agency, growth, and collective success.
- Technical Stewardship: Collaborate with Tech Leads and Architects to solve complex problems, influence design discussions, and drive long-term architectural planning.
- Data & Innovation: Develop robust strategies for effective data engineering and scalable system design to support both core features and AI initiatives.
- Operational Excellence: Drive engineering best practices, ensuring technical debt is managed and systems are built for long-term reliability.
- Process Optimization: Continuously evaluate and implement AI-powered tools (e.g., LLM-based coding assistants, automated documentation etc.) to streamline internal workflows and boost team productivity.
Requirements
- Bachelor's degree in Computer Science.
- 7-11 years of experience in software engineering.
- 2-4 years of experience in leading engineering teams.
- Strong experience in Agile software development processes such as Scrum and Kanban.
- Good written and verbal communication skills.
- Ability to build strong relationships with people and drive them towards a common goal.
- Demonstrated leadership in a cross-functional, highly collaborative environment.
- Demonstrated focus on continuous improvement of systems, software, and processes through data analysis and metrics.
- 5+ years of hands-on experience with Golang / Java / Python / Node.js, SQL, and Kafka.
- Solid understanding of Event First/Microservices/Serverless Architecture, Schema Evolution.
- Knowledge of modern DevOps tools and techniques.
- Experience with setting up/tracking key engineering metrics and summarising them for executive decision-making.
Our culture & accolades
As an organization, it’s our priority to create a highly engaging and rewarding workplace. We offer tons of awesome perks and many opportunities for growth.
Our culture reflects our employee's globally diverse backgrounds along with our commitment to our customers, and each other, and a passion for excellence. We live up to our values, DAB, Delight your customers, Act as a Founder, and Better Together.
Mindtickle is proud to be an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Your Right to Work - In compliance with applicable laws, all persons hired will be required to verify identity and eligibility to work in the respective work locations and to complete the required employment eligibility verification document form upon hire.
Top Skills
Aws Lambda
Aws Step Functions
Go
Java
Kafka
Node.js
Python
Similar Jobs
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The QA engineer will develop and execute testing plans for NetSuite and SFDC, collaborate with stakeholders, and support release management activities.
Top Skills:
JavaJIRANetSuitePythonSeleniumSFDCSnaplogicSuitescriptXray
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
As an Engineer in the Marketing Solutions team, you will design, develop, and maintain backend services with Java or Python, focusing on APIs, microservices, and collaboration with cross-functional teams.
Top Skills:
AWSCi/CdFlaskGCPGitJavaJenkinsPostgresPythonSpring BootSQL
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Engineer will develop and maintain backend services using Java and Python, enhance APIs and microservices, and collaborate effectively within teams.
Top Skills:
FlaskGitJavaJenkinsPostgresPythonSpring BootSQL
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
