Relationship Manager - Real Estate

About the Role

We’re looking for a Senior Software Engineer who takes ownership seriously, someone who

designs solutions, ships them, and stands behind them in production. You’ll work across a

technically interesting stack on systems that process millions of provider records.

This is a role with real scope: you’ll influence architecture, shape engineering practices, and

work directly with product and leadership to solve hard problems in a domain that genuinely

matters.

Problems You’ll Solve

Healthcare’s provider data problem is a hard distributed systems problem. Hundreds of primary

sources state boards, payers, federal registries each with their own schema, SLA, and failure

mode. Downstream, real credentialing and network decisions depend on whatever truth we can

surface.

API contract stability at velocity. You’re building a platform hundreds of integrations depend

on. How do you evolve a Quarkus/REST API, adding resources, deprecating fields, shifting data

models without breaking consumers? Contract-first design, versioning strategy, and backward

compatibility aren’t theoretical here.Integration reliability at scale. Upstream sources go down, change schemas, and return dirty

data. You’ll build the patterns that absorb that chaos idempotent consumers, dead-letter queues,

circuit breakers, and reconciliation pipelines on top of Kafka and Spanner.

Entity resolution on messy real-world data. Deduplicating and reconciling provider records

across hundreds of heterogeneous sources, where a wrong merge has downstream

consequences. MDM patterns, confidence scoring, and deterministic vs. probabilistic matching

at scale.

AI-augmented velocity without regression. We use Cursor and Claude Code as force

multipliers. The engineering problem is building review culture, eval frameworks, and test

coverage that keeps quality high as output volume increases.

Observability for a data platform, not just a service. Uptime isn’t enough; you need to know

when a provider record is stale, inconsistent, or wrong. You’ll instrument data quality and

lineage, not just p99 latency.

What We’re Looking For

Engineering fundamentals

* 8+ years building and maintaining production-grade systems including systems where

your API is someone else’s dependency and breaking it has real downstream

consequences

* Track record of shipping high-quality software in fast-paced environments you define the

solution, not just implement a spec

* Strong engineering fundamentals: testing, clean code, maintainability, and performance

optimization

* Experience improving system reliability you’ve debugged hard production problems and

made them not happen again, with SLOs and alerting to prove it

* Comfort mentoring earlier-career engineers and influencing technical direction

API & architecture depth

* Deep experience designing and evolving APIs under active consumers: versioning

strategy, backward compatibility, and contract-first thinking

* Fluency across API paradigms REST, GraphQL, gRPC, and async/event-driven APIs

(webhooks, Kafka topics as contracts) and the judgment to know when each is the right

tool

* Hands-on experience with service-oriented and distributed architectures you’ve worked

across SOA, microservices, and event-driven patterns and can make principled tradeoffs

between them based on coupling, latency, and operational complexity

* Experience designing for API consumers as first-class stakeholders SDK ergonomics,

pagination, rate limiting, error semantics, and documentation as part of the contract, not

an afterthought

* Experience with integration patterns at scale you’ve built or maintained systems that

aggregate and normalize data from many heterogeneous upstream sources, and you

understand the reliability and consistency tradeoffs that come with it: circuit breakers, retry

strategies, idempotency, eventual consistency

Data-intensive systems• Strong data modeling instincts you understand the difference between a schema that’s

easy to write and one that’s easy to query, evolve, and trust at scale

* Experience with high-throughput, event-driven systems: you understand ordering

guarantees, consumer lag, and failure modes in Kafka-like architectures

* Strong sense of data quality: lineage, freshness, and correctness matter as much to you

as throughput

AI-era engineering

* In an AI-augmented engineering environment, you write less and review more you’re

skeptical of generated code in the right ways, and you use that leverage to ship 2–3x

what a non-AI-fluent engineer would

* Fluency with AI-assisted engineering tools (Cursor, Claude Code, MCP servers) this is

part of how we work, not a nice-to-have

Communication & compliance

* Strong written and verbal communication you can explain a technical tradeoff to an

engineer and a product manager in the same conversation

* Experience with sensitive data and security best practices (PII, access controls) in

regulated or compliance-adjacent environments

Nice to Have

* Experience building or operating AI/LLM pipelines in production (not just prototypes)

including eval frameworks, fallback behavior, and monitoring for non-deterministic outputs

* Experience with entity resolution or MDM systems at scale deduplicating messy

real-world data across disparate sources

* Familiarity with healthcare credentialing workflows

* Familiarity with healthcare, compliance, or regulated environments

Technologies & Tools

Java 21 / Quarkus · React / TypeScript · GCP (Spanner, BigQuery) · Kafka · Docker /

Kubernetes · GitHub Actions · Sentry · REST / GraphQL / gRPC · Cursor / Claude

Code / Codex

Exp: 5 to 8 Years

Budget- 20 to 24LPA

Location: Mumbai, Andheri

Mandatory Criteria

• You are an MBA grad with 5+ years into your marketing career, with strong B2B experience.
• You are equally comfortable thinking and doing — you don’t just manage, you make things happen
• You think like a founder — practical, agile, and resourceful.
• You thrive in fast-paced, iterative environments.
• You are fascinated by what makes AI and Learning tick.
• You value output over optics — and clarity over jargon.

OKR

● Own the marketing calendar and deliver practical, sharp B2B campaigns that generate

sales meetings and conversations, not just clicks and impressions.

● Come up with breakthrough marketing initiatives that challenge “this is how it’s done”

thinking.

● Partner closely with the sales, product, and solutions team to move the sales pipeline.

● Drive execution across email, LinkedIn, events, and more with an outcome-driven

approach

● Leverage tools and AI platforms for the creation of marketing and sales collaterals across

various formats and mediums relevant to target customers

● Lead a sharp team, while staying deeply hands-on yourself.

If interested kindly share your updated resume at 82008 31681

Experience: 8–12 years total; including 5+ years hands-on Salesforce development and 2+ years

in a lead role

Employment Type: NPW; Remote; time-zone overlap with US stakeholders

Reports To: Program Manager

Role Summary

Own the design and implementation of the contract generation capability in

C3/Salesforce—including canonical template modeling, field mappings, merge logic, and

approval workflows—and deliver a pilot/MVP that enables automated, correct contract

generation.

Key Responsibilities

 Lead end-to-end build of merge templates and document generation flows for contract

types in Salesforce/C3; establish reusable patterns and governance.

 Translate business requirements into technical designs (data model, mapping, merge rules,

validation/approvals) and own backlog grooming and sprint readiness.

 Implement in Salesforce using Apex, Lightning Web Components (LWC), Flows, Approvals,

and REST/SOAP APIs; integrate with clause libraries and metadata sources.

 Set engineering standards (coding guidelines, branching, CI/CD), perform code reviews, and

mentor developers; ensure performance, security, and auditability.

 Deliver a pilot for at least one contract type and expand to additional templates based on

fit/gap and stakeholder feedback; drive UAT and release readiness.

Required Skills & Qualifications

 Salesforce: Apex, LWC/Lightning, Flows, Approvals, SOQL/SOSL; experience integrating

third-party systems via REST/SOAP; strong understanding of template merge and document

generation.

 Prior experience with C3 is necessary.

 Data & Mapping: Designing canonical models, field mappings, clause/section metadata;

error handling and reconciliation.

 Dev Practices: Git-based workflows, CI/CD (Azure DevOps/GitHub), unit/integration tests,

performance tuning, security (profiles, roles, sharing).

 Leadership & Collaboration: Lead a small agile squad, partner with BAs/Architects, and

communicate clearly with business/legal stakeholders.

Key Responsibilities:

·      Solution Design: Collaborate with clients to understand their business requirements and design comprehensive Informatica MDM solutions tailored to their needs.

·      Implementation: Lead the implementation of Informatica MDM solutions, including configuration, customization, and integration with existing systems.

·      Data Modelling: Design and implement data models to support MDM initiatives, ensuring data integrity, accuracy, and consistency across systems.

·      Data Quality Management: Implement Informatica Data Quality (IDQ) processes and workflows to improve data quality and ensure compliance with organizational standards.

·      Integration: Integrate Informatica MDM solutions with other enterprise systems, such as CRM, ERP, and BI platforms, to facilitate seamless data exchange and interoperability.

·      Customization: Develop custom components, workflows, and extensions to extend the functionality of Informatica MDM and meet specific business requirements.

·      Data Governance: Establish data governance policies, standards, and best practices to govern the use, management, and quality of master data within the organization.

·      Documentation: Prepare comprehensive documentation, including solution designs, technical specifications, user guides, and training materials, to support the implementation and maintenance of Informatica MDM solutions.

·      Testing and Quality Assurance: Conduct thorough testing and quality assurance activities to ensure the reliability, scalability, and performance of Informatica MDM solutions.

·      Training and Support: Provide training and support to end-users, administrators, and stakeholders to ensure successful adoption and utilization of Informatica MDM solutions.

What you’ll bring

• Bachelor's degree in Computer Science, Information Systems, or related field; Master's degree preferred.
• Minimum of 4 years of experience in implementing and configuring Informatica MDM solutions.
• Proficiency in Informatica MDM Hub, Informatica Data Director, Informatica Data Quality (IDQ), and related Informatica tools and technologies.
• Strong understanding of data modelling principles, data integration concepts, and master data management best practices.
• Hands-on experience with data profiling, cleansing, and transformation using Informatica IDQ.
• Experience with data governance frameworks, data stewardship workflows, and data quality metrics.
• Excellent communication skills and the ability to effectively collaborate with cross-functional teams and stakeholders.
• Proven ability to work independently, manage multiple priorities, and deliver high-quality results within tight deadlines.
• Informatica certification(s) in MDM and/or IDQ is a plus.

Optiblack is a product growth firm that works with product leaders to drive revenue from data. Optiblack has worked with 50+ firms and created an impact of $300M+ USD

Optiblack is looking to add a product analyst that works with their clients on client engagement.

Job Descriptions

0. Monitoring

 Look at data from various sources daily to understand insights

 Identify areas of improvement

 Create the dashboards as per requirements

 Build tracking plan

1. Data Analysis

 Gather and analyze data from various sources to extract actionable insights.

 Use statistical techniques and data visualization to interpret trends and patterns.

 Identify opportunities for product improvements based on data analysis.

2. Product Performance Evaluation

 Monitor key product metrics and performance indicators.

 Conduct regular evaluations to assess product performance against goals and benchmarks.

 Identify areas of improvement and recommend strategies for optimization.

3. Market Research

 Conduct market research to understand industry trends, customer needs, and competitive landscape.

 Analyze market data and customer feedback to identify market opportunities.

 Provide insights on target market segments and potential customer segments.

4. User Experience Enhancement

 Collaborate with UX UI designers to improve the user experience of the product.

 Conduct user research, interviews, and usability testing to gather feedback on product usability and satisfaction.

 Recommend enhancements and features to improve user experience.

5. Requirement Gathering

 Collaborate with stakeholders to gather and document product requirements.

 Conduct interviews, workshops, and surveys to understand user and business needs.

 Translate requirements into clear and actionable user stories or product specifications.

6. A/B Testing

 Plan, execute, and analyze A/B Tests to evaluate the impact of changes or new features.

 Use data from A/B tests to make data-driven decisions and optimize the product.

7. Reporting and Presentation

 Prepare reports and presentations to communicate insights, findings, and recommendations.

 Present data analysis and product performance evaluations to stakeholders and cross-functional teams.

 Clearly articulate complex concepts in a concise and understandable manner.

Skills Required for a Product Analyst

1. Technical Skills

 Data Analysis: Proficiency in using analytical tools and techniques to gather, analyze, and interpret data.

 Tools: Mixpanel or similar

 Market Research: Knowledge of market research methodologies, including data collection, analysis, and competitor analysis.

 Product Management Tools: Familiarity with product management tools such as Jira, Trello, or Asana to manage product backlogs, roadmaps, and user stories.

 User Experience (UX) Design: Understanding of UX principles and the ability to work closely with designers to enhance the user experience of the product.

 A/B Testing: Experience in planning, executing, and analyzing A/B tests to measure the impact of product changes.

 SQL and Database Knowledge: Proficiency in SQL to extract and analyze data from databases.

2. Workplace Skills

 Communication: Strong verbal and written communication skills to effectively collaborate with stakeholders, present findings, and document requirements.

 Problem-Solving: Ability to identify problems, gather relevant information, and propose practical solutions to improve product performance and user experience.

 Critical Thinking: Capacity to think analytically, assess situations, and make data-driven decisions.

 Stakeholder Management: Skill in managing relationships with stakeholders, understanding their needs, and balancing competing priorities.

 Teamwork and Collaboration: Ability to work collaboratively with cross-functional teams, including product managers, designers, developers, and marketers.

 Adaptability: Flexibility to navigate in a dynamic and fast-paced work environment, adjusting priorities as needed.

 Attention to Detail: Strong attention to detail to ensure accuracy and precision in data analysis, documentation, and requirement gathering.

Mogi I/O (www.mogiio.com), a Delhi based video delivery SaaS venture, is looking for a Full-stack /mean stack developer, both for an internship role.

A candidate should be high performance, high energy. He would work on core video and image tech. Should be a hands-on Full Stack or mean stack coder.

Experience – Any experience in Back end working on NodeJs and MongoDB.

Some core requirements -

• Should be a hands-on Back end- NodeJs and MongoDB, with experience in building real world applications.
• Highly curious, ability to learn and implement new technologies independently
• High ownership and impact-driven, capable of juggling multiple things
• Effective team player, able to mentor and learn from teammates.

Technical Proficiency - MongoDB, Node.js

Location – Work from Office (Saket, Delhi)

Compensation -

10k-12k per month based on interview performance and skill set, opportunity to convert to full time post internship completion.

Pre-Placement Offer(Performance based).

Experience: 5 - 6 years

• Strong knowledge of OOP, C#, LINQ, SQL Server.
• Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.
• Demonstrable knowledge of any one of the JavaScript frameworks - Angular JS or ReactJS.
• Must be strong in .net MVC.
• Minimum 1 yr experience in .Net Core, Web API.
• Excellent verbal communication skills.
• Good problem-solving skills.
• Ready to work in a challenging environment.
• Professional approach toward work.