Content Writer

Identify and generate new leads through calls, emails, and networking • Understand the client requirements and pitch the product to the customer accordingly. • Maintain good relationships with existing clients. • Schedule meetings or product demos with interested customers. • Conduct the demoes with the prospective customers either virtually or on field. • Follow up on leads and close sales deals • Achieve monthly targets • Maintain records of sales activities and customer interactions • Work closely with the sales and marketing team

Fountane Archipelago  ·  Island Role

A Little Bit About the Role

We are looking for a Senior Product Engineer (L3) who thrives in complexity. Most engineers build on blank canvases — you build on someone else’s mess and leave it better than you found it.

The majority of your work at L3 will be on existing, live codebases — disorganised, partially documented, built by multiple teams over multiple years. Your job is to enter those systems, understand them before touching them, extend and clean them without breaking what works, and progressively bring them up to a standard where AI tooling can accelerate further development. This is the core of what L3 does at Fountane. If you have only built greenfield projects, this role will be hard.

You are expected to be genuinely full stack: comfortable owning web applications and mobile apps, the frontend, backend, database, state management, and API integration layer — without needing to hand off to a specialist.

You will work closely with the Concept Engineer on your Island — translating their prototypes into production architecture, raising technical blockers early, and keeping the sprint honest. You will also review code, mentor junior engineers, respond to production incidents, and contribute to the network’s shared knowledge base.

All of this is done primarily with Cursor and Claude as your execution and reasoning tools. AI-assisted engineering is not a feature of this role — it is the method.

AI-First Engineering Expectation

Cursor and Claude are your primary tools — not supplements. Engineers at L3 who are not using AI at the codebase level are not operating at this level.

At L3, AI-assisted engineering means:

• Loading full codebase context into Cursor before writing a single line — understanding the system before touching it.
• Writing scoped, precise refactor prompts that isolate changes to one concern at a time.
• Using Cursor to generate tests that document existing behaviour before any restructuring begins.
• Using Claude for architecture reasoning, decision documentation, and translating CE briefs into structured technical plans.
• Producing inline documentation and decision records as part of the AI-assisted workflow — not as an afterthought.
• Sharing effective prompt patterns and Cursor discoveries with the broader Fountane network — kept to yourself, they are a missed contribution.

Key Responsibilities

Legacy Codebase Refactoring & the Cleaning Phase

This is the primary L3 engagement type at Fountane. You will be handed existing, partially documented codebases — built by previous teams, often without tests, with inconsistent patterns — and your job is to refactor them into a clean, AI-promptable state without losing existing functionality. You use Cursor’s codebase context window to navigate safely, write characterisation tests before touching anything, and make changes in small, reviewable increments. The standard is: every module you leave should be easier to extend by AI tooling than when you found it.

Full Stack Development — Web & Mobile

Build and own the full application layer: React / Next.js web frontends, React Native or Flutter mobile apps, Node.js / Python backends, and relational and non-relational databases. You should be able to pick up web or mobile on any engagement without needing a handoff. Schema design, data modelling, and state architecture are yours to own — including diagnosing and fixing broken or leaking state in existing frontends.

Third-Party API Integrations

Integrate complex third-party services — payments (Stripe), communications (Twilio), auth (Auth0), and others — reliably and without creating brittle dependencies. Own the integration layer end to end: error handling, retries, failure modes, and documentation. If a third-party integration is flaky in production, that is your problem to own.

CE Collaboration & Sprint Integrity

Work directly with the Concept Engineer to translate prototypes into buildable technical plans. Review CE briefs before the sprint starts — if the scope is technically unrealistic, the time to say so is before work begins, not on demo day. Raise blockers against acceptance criteria proactively. You are the technical check on what the CE promises the client.

Security Awareness

Write code that does not require the Lead to security-audit every line. This means: input validation by default, no hardcoded secrets, correct auth scoping, safe handling of user data, and awareness of common vulnerabilities (injection, broken auth, insecure direct object references) in the context of the stacks you work in. You are not the security architect — the Lead owns that — but you are expected to produce code that does not introduce obvious vulnerabilities.

Production Incident Response

When something breaks in production, you are on it. Diagnose the issue, apply a safe fix or rollback, document what happened and why, and hand a clear summary to the Lead for the client post-mortem. Speed matters, but a bad fix that causes a second incident is worse than a slow fix that is correct. Response expectation: acknowledged within 1 hour, resolved or escalated with a clear status within 4 hours.

Codebase Navigation & Safe Refactoring

On all engagements — not just Cleaning Phase work — keep changes small, focused, and reviewable. One type of change per commit. Write tests that document existing behaviour before restructuring. Leave every module easier to understand than when you found it.

Code Review

Review pull requests from L1 and L2 engineers with specific, actionable feedback — not rubber-stamp approvals. A good code review at L3 leaves the author understanding what to do differently next time, not just what to fix now. Review weekly; do not let PRs age.

Mentoring

Review junior engineers’ code weekly with specific, useful feedback — this is distinct from quality-gate code review. The goal here is teaching, not gatekeeping. Run monthly pairing sessions to help them grow. The measure of good mentoring is whether they are becoming more capable and less dependent on you over time.

Documentation

Write short decision records when you make significant technical choices. Leave every module you touch easier to understand than when you found it. Treat documentation as part of the engineering work, not a separate task you do at the end.

Qualifications

• 5+ years of experience as a software engineer, with a strong track record on real production codebases you did not build from scratch — incomplete documentation, inconsistent patterns, other people’s decisions. If your experience is primarily greenfield, this role will be a difficult fit.
• Genuinely full stack across web and mobile: proficient in React / Next.js and at least one of React Native or Flutter, Node.js or Python on the backend, and comfortable with both relational and non-relational databases including schema design.
• Hands-on, daily Cursor and Claude usage at the codebase level. You should be able to describe concretely how you use AI in your engineering workflow — not in general terms.
• Experience integrating complex third-party APIs in production environments — not just following a quickstart guide. You should be able to describe an integration that failed in production and what you did about it.
• Solid security awareness for the stacks you work in: input validation, auth scoping, safe data handling. You do not need a security specialism, but you should not be writing code that introduces obvious vulnerabilities.
• Has conducted meaningful code reviews that improved the code and the author, not just approved the PR.
• Has coached or mentored junior engineers before, and done it well.
• Comfortable with production incident response — diagnosing issues under pressure, applying safe fixes, and communicating clearly to a Lead or client about what happened.
• Treats documentation as part of the job, not an afterthought.
• Bachelor’s or Master’s in Computer Science or a related field, or equivalent experience.

About Fountane

Fountane is a technology ventures lab - one part product studio, one part startup engine. We build high-quality software and AI products for clients ranging from fast-moving startups to large enterprises, and we co-build and invest in new companies when we see the right opportunity.

Founded in 2017 and headquartered in Minneapolis, we have grown to 60+ people across four continents and were recognised as one of America’s fastest-growing companies, ranking No. 699 on the Inc. 5000 with 595% three-year growth.

We are radically open-minded, serious about craft, and direct about expectations. If you want to do meaningful work without politics, this is the place.

1. GCP - GCS, PubSub, Dataflow or DataProc, Bigquery, BQ optimization, Airflow/Composer, Python(preferred)/Java

2. ETL on GCP Cloud - Build pipelines (Python/Java) + Scripting, Best Practices, Challenges

3. Knowledge of Batch and Streaming data ingestion, build End to Data pipelines on GCP

4. Knowledge of Databases (SQL, NoSQL), On-Premise and On-Cloud, SQL vs No SQL, Types of No-SQL DB (At Least 2 databases)

5. Data Warehouse concepts - Beginner to Intermediate level

6.Data Modeling, GCP Databases, DB Schema(or similar)

7.Hands-on data modelling for OLTP and OLAP systems

8.In-depth knowledge of Conceptual, Logical and Physical data modelling

9.Strong understanding of Indexing, partitioning, data sharding, with practical experience of having done the same

10.Strong understanding of variables impacting database performance for near-real-time reporting and application interaction.

11.Should have working experience on at least one data modelling tool,

preferably DBSchema, Erwin

12Good understanding of GCP databases like AlloyDB, CloudSQL, and

BigQuery.

13.People with functional knowledge of the mutual fund industry will be a plus Should be willing to work from Chennai, office presence is mandatory

Role & Responsibilities:

● Work with business users and other stakeholders to understand business processes.

● Ability to design and implement Dimensional and Fact tables

● Identify and implement data transformation/cleansing requirements

● Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse

● Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions

● Design, develop and maintain ETL workflows and mappings using the appropriate data load technique

● Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.

● Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.

● Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.

● Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.

● Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics.

● Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.

● Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.

● Train business end-users, IT analysts, and developers.

Job Responsibilities

• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary

Requirements for the Job

1. Bachelor’s/Master's/PhD in Computer Science, Mathematics, Statistics or equivalent field andmust have a minimum of 2 years of overall experience in tier one colleges 

1. Minimum 1 year of experience working as a Data Scientist in deploying ML at scale in production
2. Experience in machine learning techniques (e.g. NLP, Computer Vision, BERT, LSTM etc..) andframeworks (e.g. TensorFlow, PyTorch, Scikit-learn, etc.)

1. Working knowledge in deployment of Python systems (using Flask, Tensorflow Serving)
2. Previous experience in following areas will be preferred: Natural Language Processing(NLP) - Using LSTM and BERT; chatbots or dialogue systems, machine translation, comprehension of text, text summarization.
3. Computer Vision - Deep Neural Networks/CNNs for object detection and image classification, transfer learning pipeline and object detection/instance segmentation (Mask R-CNN, Yolo, SSD).

What we're looking for
We are looking to hire a smart product manager who is passionate about taking up ideas and bringing them to life. You will engage with our customer base directly, and decide the future of the product by working closely with founders. You will also collaborate with marketing and growth teams to ensure that word gets out to people and they get to see what you are building

Responsibilities
Work with founders to define product strategy and roadmap
Prioritise and plan features for development. Come up with prioritisation framework suited to company needs and balancing impact vs effort
Build strong customer empathy and incorporate same while working with UX and Design teams
Convert ideas to prototypes and demonstrate them to the key partners
Own product lifecycle from idea, design, research , competitive analysis, positioning, roadmap, development, go to market, launch and success
Define and measure success metrics for the product
Talk to customers, gather business insights and come up with new product ideas for a multi-product strategy
Be a product evangelist inside and outside the organisation. Represent company in product or domain specific conferences and events


Qualifications
Over 3 years of hands on experience in Product Management
Good understanding of web based architecture and APIs
Good understanding of UX framework and experience on UI design
Good analytical and problem solving skills
Ability to work independently and drive product with minimal direction
Collaborative approach with clear communication
Strong analytical and problem solving skills
Familiar with agile product development processes
Background in consumer apps is a plus


Benefits
An exciting and enriching work environment
Ability to work directly with founders to shape the company
Opportunity to become an expert in sustainability tech (expected to be redefine every industry over next 2-3 decades)
Opportunity to participate in the zero to one journey of building a startup
Ability to articulate and work on the most core problems that the customer faces
A competitive salary and comprehensive medical insurance coverage
Significant upside through an employee friendly ESOP policy

We are looking for a senior developer to produce and implement functional software/web solutions. You will work with upper management to define software requirements and take the lead on operational and technical projects.

In this role, you should be able to work independently with little supervision. You should have excellent organization and problem-solving skills. Your goal will be to develop high-quality software/websites that is aligned with user needs and business goals.

Description:

• Migrating legacy applications to new technologies
• Maintaining applications and troubleshooting
• Designing new software programs, websites, and applications
• Managing project timelines and tasks

Skills & Experience:

• Proven experience as Senior Developer
• Must know - asp.net, MVC Architecture, AJAX, REACTJS, HTML/CSS, MS SQL, JAVASCRIPT
• Python and/or NODEJS, JAVA is added bonus
• Well versed with SSO, Shibboleth and SAML
• Creating and integrating API's
• Should have good knowledge about networking
• Previous experience with applications based on SAML, SSO and CDN's.
• Must have basic knowledge about Identity Providers, access gateways and integration with SSO's

• 💰  Early-stage, ed-tech, funded, growing, growing fast.
• 🎯  Mission Driven: Make Indonesia competitive on a global scale.
• 🥅  Build the best educational content and technology to advance STEM education 
• 🥇  Students-First approach

• ❤️  Love what we do
• 🎮  Committed to making learning fun, accessible, and safe 
• 🤝  Teams are better. We value ownership, responsibility, transparency
• 🌏  Global, diverse backgrounds. Been there, done that.

• CoLearn has grown so much, and you’ve been an important part of the growth. You solved hard problems that many didn’t know existed.
• You’ve led the data science function and laid out the roadmap, implemented best practices, and grown the team. You’ve executed mission-critical projects. Congratulations!
• You’re exploring what Data Science can do for the students, parents, teachers, educators.
• You’ve been speaking at Data Science conferences about the image recognition system we built from scratch. You casually threw in the semantic search engine on slide 77.
• The engineering and product teams are your friends. The teams take cross-functional collaboration, testing, and modeling for granted. It’s their second nature.
• You have an encyclopedic knowledge of CoLearn’s data structures and metrics, and you’ve often provided key ideas for the product.

• Highly-skilled and experienced Data Scientist and leader
• You are interested in creating next-gen data-powered education tech products. 
• You’ve worked in a Data Science role before where you took a data product to market
• You are comfortable working with unknowns, evaluating the data, and applying scientific techniques to business problems and products
• You’ve built platforms and systems from scratch
• You have a track record of developing and deploying data-science models to production

• End-to-end AI/ML systems in the cloud, including data processing, feature engineering, and tuning of ML models in training and production (MLOps) — with both structured and unstructured data.
• Deep Learning and Computer Vision models, ideally in a production environment
• Hands-on Python/SQL, scikit-learn, Keras, PyTorch, Tensorflow, MXnet, etc. 
• Experience in Scala/Java/Go/C/C++ is a plus plus
• Airflow/Luigi/Oozie and the likes
• Familiarity with cloud deployment strategies (AWS/GCP) to deploy at scale

• B.S./B.E./M.S./PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics or equivalent years of experience
• 10+ years of experience in data science, algorithmic engineering, and machine learning. Preferably solved problems from scratch to scale
• Experience in hiring, managing highly-performant teams, and mentoring data science, data engineering, and analytics teams 
• Experience developing a data science strategy, building the roadmap, and leading the execution
• Track record of recruiting talent in analytics and data science

• You’ve won algorithm and machine learning competitions such as ACM and Kaggle
• You have research publications and citations in top tier journals 
• You have a portfolio of side projects and can show it to us

We are looking for an experienced Senior Software Engineer (Integrations) to contribute to PriceLabs' ambitious plans. We have an existing product that's being used by thousands of customers worldwide and are looking to upgrade our design and launch new features that will serve customers worldwide.

What you will learn at PriceLabs:

Scaling:

• We currently exchange tens of millions of prices between us and our partners multiple times every day! As we continue to grow, designing our architecture to keep working seamlessly is going to need a lot of teamwork 
• Doubling in size every year brings unique scaling challenges. Our product started with one single server doing everything needed, but over time we've created a fairly distributed architecture of micro-services. Ensuring our systems continue to provide the same level of service with twice the number of customers next year teaches us (and you!) forward thinking!

Fundamentals:

• We have a very strong emphasis on fundamentals - writing code in strict memory requirements, setting up a server from scratch, being able to use open source services (like nginx, mysql, linux servers, redis, rabbitmq) to get the best performance out sets our team up for long term success.
• Implementing to the standards of operating systems, working in a thread safe/unsafe environment.
• Understand how servers interact with each other in a data center. How does nginx and unicorn power the communication for our APIs.

Customer-centric engineering:

• Making a product that needs to work for both single home-owners as well as enterprise customers to property management businesses - we're on a journey towards design and process thinking to ensure systems are easy to use. Expect strong collaboration with customer facing, design and data science teams!

New products:

• We have a lot of ground level infrastructure available for us to build new products for both our customers and our industry partners to use. Architecting these systems from scratch is a joy in itself (our team has done this a few times!)

Amazing team:

• Our engineering team is very focused on getting things done, and getting them done the right way so the last long! Write better code everyday, solving customer and co-worker pain points, and learning from our peers is what keeps us going!

Responsibilities:

• You will work with Ruby, we are a RoR platform so understanding how ruby interacts with database would be ideal but not preferred.
• Build new integrations with property management systems (PMS) and also maintain existing ones.
• Understand nuances of downstream systems and design and architect your solution keeping in mind third party systems
• Talk to existing PMS and understand what new features can be incorporated and what existing features need to be updated.
• Fix issues that break and keep a track of daily status and understand inefficiencies.
• Engage with PMS partners and optimise the existing pipeline.
• Continuous improvement to our web stack, set standards, automate mundane tasks

Requirements:

• 4+ years experience in back end web development and understanding Ruby would be great but not mandatory.
• You should be comfortable working with git, visual studio code(or any IDE that you prefer) and test your own code thoroughly before making a PR.
• Ability to architect and develop systems so it can connect seamlessly with PMS and third party systems.
• Ability to understand Message queues and how a pub-sub system works with multiple servers
• Experience in building distributed systems that integrate with RESTful APIs and SOAP XMLs.