Tech Lead Manager, Product Development (India)

Posted 9 Days Ago
Be an Early Applicant
Bangalore, Bengaluru, Karnataka
Hybrid
Senior level
Artificial Intelligence • Cloud • Software
The Role
Foster a high-performing engineering team through effective leadership, mentorship, and continuous skill development. Collaborate with product managers, data platform engineers, and other stakeholders to understand business requirements and translate them into technical solutions to enhance system reliability, availability, and performance. Architect and implement solutions that scale horizontally to accommodate the rapid growth of the customer base and demands on the Data Lake infrastructure.
Summary Generated by Built In

About Onehouse

Onehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML).


We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform!


The Impact You Will Drive:

Foster a high-performing engineering team through effective leadership, mentorship, and continuous skill development.

Collaborate with product managers, data platform engineers, and other stakeholders to understand business requirements and translate them into technical solutions in order to enhance system reliability, availability, and performance, ensuring a seamless experience for our customers.

Champion a culture of innovation, encouraging the team to explore new tools and methodologies that enhance the overall efficiency and effectiveness of our Data Lake platform.

Architect and implement solutions that scale horizontally to accommodate the rapid growth of our customer base and the ever-expanding demands on our Data Lake infrastructure.


A Typical Day:

Start your day by reviewing the team's objectives and aligning them with the broader company goals in the realm of SAAS and Data Lake technologies.

Conduct a morning stand-up to foster open communication within the team, discussing progress, challenges, and upcoming tasks.

Dive into technical discussions with your team, architects, and other stakeholders, contributing your expertise to architectural decisions and problem-solving sessions.

Collaborate with cross-functional teams such as data engineering, product development, and quality assurance to ensure seamless integration and delivery.

Facilitate regular team meetings to discuss process improvements, share insights on industry best practices, and foster a culture of continuous learning.

Work with individual team members to identify areas for skill development and create personalized growth plans.

Monitor the health and performance of our cloud infrastructure, reviewing alerts and addressing any incidents promptly to ensure system reliability.

Engage in project planning sessions, ensuring that timelines are realistic and align with business priorities.

Regularly update project documentation, tracking progress, and communicating milestones to relevant stakeholders.

Work closely with other engineering managers to align efforts, share insights, and contribute to the overall success of the company.


What You Bring to the Table:

10+ years of software engineering work experience

2+ years in a similar eng leadership function, with high degree of hands-down execution

Proven experience in cloud infrastructure management, with a deep understanding of AWS, Azure, or GCP.

Demonstrated success in recruiting, leading and growing high-performing engineering teams.

Strong interpersonal skills with the ability to inspire, mentor, and guide team members toward achieving both individual and collective goals.

Proven track record of collaborating across teams, fostering a culture of cross-functional communication and cooperation.

Expertise in implementing and maintaining robust monitoring, alerting, and incident response systems.

A customer-focused mindset, with the ability to understand and translate customer needs into technical solutions.



How We'll Take Care of You

-Equity Compensation; our success is your success with eligible participation in our company equity plan

-Health & Well-being; we'll invest in your physical and mental well-being by reimbursing up to 20,000 INR for your monthly insurance premium

-Financial Future; we'll invest in your financial well-being by making this role eligible for the provident fund of which Onehouse will contribute up to 1800 INR/month 

-Location; we are a remote-friendly company (internationally distributed across N. America + India), though some roles will be subject to in-person requirements in alignment with the needs of the business

-Generous Time Off; unlimited PTO (mandatory 1 week/year minimum), uncapped sick days and 17 paid company holidays

-Food & Meal Allowance; weekly lunch stipend, in-office snacks/drinks

-Equipment; we'll provide you with the equipment you need to be successful and a one-time $500 (USD) stipend for your initial office/desk setup

-Child Bonding!; 26 weeks off for birthing and 12 weeks for surrogate and adoptive parents - fully paid so you can focus your energy on your newest addition



House Values

One Team

Optimize for the company, your team, self - in that order. We may fight long and hard in the trenches, take care of your co-workers with empathy. We give more than we take to build the one house, that everyone dreams of being part of.


Tough & Persevering

We are building our company in a very large, fast-growing but highly competitive space. Life will get tough sometimes. We take hardships in the stride, be positive, focus all energy on the path forward and develop a champion's mindset to overcome odds. Always day one!


Keep Making It Better Always

Rome was not built in a day; If we can get 1% better each day for one year, we'll end up thirty-seven times better. This means being organized, communicating promptly, taking even small tasks seriously, tracking all small ideas, and paying it forward.


Think Big, Act Fast

We have tremendous scope for innovation, but we will still be judged by impact over time. Big, bold ideas still need to be strategized against priorities, broken down, set in rapid motion, measure, refine, repeat. Great execution is what separates promising companies from proven unicorns.


Be Customer Obsessed

Everyone has the responsibility to drive towards the best experience for the customer, be an OSS user or a paid customer. If something is broken, own it, say something, do something; never ignore. Be the change that you want to see in the company.


Top Skills

AWS
Azure
GCP
The Company
HQ: Menlo Park, CA
54 Employees
On-site Workplace
Year Founded: 2021

What We Do

Onehouse delivers a universal data lakehouse through a cloud-native managed lakehouse service built on Apache Hudi, which was created by the founding team while they were at Uber. Onehouse makes it possible to blend the ease of use of a warehouse with the scale of a data lake, by offering a seamless experience for engineers to get their data lakes up and running. Onehouse offers the widest interoperability for your data in the market across table formats, multiple compute engines and multiple cloud providers.

We have a stellar team of inspired, seasoned professionals including data, distributed systems, and platform engineers from Uber, LinkedIn, Confluent, and Amazon. Our product team has helped build enterprise data products at major enterprises including Azure Databricks.

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