Inside Sales

Technical Evaluation Engineer

Experience: 8+ years (3+ in leadership)

Location: [Add location]

Description:

We’re looking for a Head of Technical Recruiting with a strong understanding of software development to lead and scale our tech hiring. You will partner with engineering leadership to define hiring needs, build efficient interview processes, and deliver high-quality hires across backend, frontend, data, platform, and product engineering roles.

Key Responsibilities:

Lead end-to-end technical hiring strategy

Partner with CTO/Engineering leaders on workforce planning

Manage and mentor technical recruiters

Design and improve technical interview processes

Drive senior and critical tech hires

Track and improve hiring metrics (time-to-hire, quality, funnel)

Requirements:

6+ years in recruiting, primarily technical hiring

3+ years leading recruiting teams

Strong understanding of software development and tech stacks

Experience hiring across engineering roles (BE/FE/FS/Data/DevOps, etc.)

Strong stakeholder management and communication skills

Nice to Have:

Engineering or technical background

Experience in fast-growing tech companies

Strong Product Designer profile.

Mandatory (Experience 1) – Must have a minimum 5+ years of experience in end-to-end Product Design (UI + UX) for B2B SaaS products or consumer tech products.

Mandatory (Experience 2) – Must have hands-on experience in both UX and UI, including User Research, User Journey Mapping, Wireframing, Prototyping, and Visual Design.

Mandatory (Portfolio) – Must have a strong design portfolio showcasing case studies of complete product design work — including UX-focused projects such as user research, personas, user flows, information architecture, and high-fidelity UI designs for B2B dashboards, SaaS products, or consumer-facing apps.

Mandatory (Tools) – Must be proficient in design tools such as Figma (wireframing, prototyping, design systems).

Mandatory (Company) – B2B SaaS OR Top Consumer-Tech Products (Swiggy, Dunzo, Nykaa, Cred)

Senior Data Engineer

Pls apply here:

tinyurl [dot] com/ysk8w2eu

About Discovered Labs

At Discovered Labs we work with $10M - $50M ARR companies to help them get more leads, users and customers from Google, Bing and AI assistants such as ChatGPT, Claude and Perplexity.

We approach marketing the way engineers approach systems: data in, insights out, feedback loops everywhere. Every decision traces back to measurable outcomes. Every workflow is designed to eliminate manual bottlenecks and compound over time.

High-level overview of our approach:

• Data-driven automation: We treat marketing programs like products. We instrument everything, automate the repetitive, and focus human effort on high-leverage problems.
• First principles thinking: We don't copy what others do. We understand the underlying mechanics of how search and AI systems work, then build solutions from that foundation.
• Full-stack ownership: SEO and AEO rarely work as isolated tasks. We work across the entire funnel and multiple surface areas to ensure we own the outcome and clients win.

The Team

We're a deeply technical team building the SpaceX of the AEO & SEO space. You'll work alongside engineers who have built fraud engines powering Stripe, Plaid, and Coinbase; developed self-driving car systems at Aurora; and conducted AI research at Stanford. We don't have layers of management. You'll work directly with founders who can go deep on architecture, code, and product.

This Role

Own the data infrastructure behind automated reporting, AI visibility monitoring, competitive intelligence, and proactive alerting across a growing multi-tenant client base.

The hard problem is operational complexity, less so petabyte scale volume. Many clients, each with multiple data sources, different schemas, different API rate limits, different failure modes, different freshness requirements. When one breaks, it can't take down everyone else. Fault isolation, graceful degradation, and per-tenant reliability are built in from the start.

This is largely greenfield. You'll be building out monitoring, observability, data quality layers and pipeline orchestration.

You report to the CTO and work closely with product engineers who build the features that consume your data layer. You'll define interfaces and data contracts together. There's no platform team. You own your infrastructure, your CI, and your monitoring.

What You'll Do

• Multi-tenant data infrastructure. Ingestion, validation, and transformation across multiple data sources. Fault isolation, schema variation, and graceful upstream failure handling.
• Third-party API integration. Most of our data comes from external APIs with their own auth flows, rate limits, pagination quirks, and breaking changes. You'll build robust, resilient connectors that handle all of this gracefully across many client accounts.
• Data quality systems. Automated checks on distributions, volumes, null rates, and freshness. Statistical validation, not just schema validation. Bad data doesn't make it downstream.
• Data observability. Freshness monitoring, volume anomaly detection, schema drift detection, lineage tracking, blast radius analysis. You know the difference between "the code ran" and "the data is correct."
• Alerting design. Not just dashboards. Threshold tuning, noise reduction, avoiding alert fatigue. Mean time to detection is a core metric for this role.
• Freshness SLAs. Define them per source, build infrastructure to meet them, alert before they breach.
• Event-driven trigger infrastructure. Surface performance changes, quality regressions, and freshness violations as events for downstream systems.
• Entity data models. Design schemas for client, competitor, and content entities. Own schema evolution and backward compatibility.
• Operational environment. CI/CD, containers, deployment pipelines, credential management. Every deploy passes CI before production.

The Ideal Person for This Role

• A builder who ships. You care about getting working systems into production, not endless planning or polish. You've built data infrastructure people actually rely on.
• An operator, not just an architect. You don't just design systems, you run them. You find satisfaction in making things reliable, not just making them work once.
• An owner. You take responsibility for outcomes, not just tasks. When a pipeline you built breaks at 3am, you fix it and make sure it doesn't break again.
• Humble and curious. You acknowledge what you don't know, ask good questions, and genuinely want to learn. You take feedback as a gift, not a threat.
• A first-principles thinker. You understand why things work, not just how. You can go five levels deep on schema decisions, validation strategies, and architecture tradeoffs.
• Always improving. You're not satisfied with "good enough." You actively seek ways to get better at your craft and make systems better over time.

Requirements

• 4+ years in data engineering, platform engineering, or infrastructure-heavy backend work.
• Python, SQL, pipeline orchestration (Airflow, Dagster, Prefect, or similar).
• Event-driven architectures or real-time data processing.
• Third-party API integration. You've built resilient connectors against external APIs with rate limits, auth flows, pagination, and breaking changes. Not just calling endpoints, but handling the full operational reality.
• Pipeline fundamentals. Idempotent pipelines, backfill strategies, and schema evolution handled gracefully in production.
• Data quality systems in production. Automated checks on distributions, volumes, freshness, null rates. Not a one-off notebook.
• Data observability. Freshness monitoring, anomaly detection, lineage tracking, blast radius analysis.
• Alerting design. Threshold tuning, noise reduction, escalation paths. You've thought about false positives as much as missed detections.
• Own your infrastructure. Containers, CI/CD, deployment pipelines, monitoring, credential management. No platform team to hand off to.
• Multi-tenant or multi-client data systems. Tenant isolation, per-client configuration, and operational overhead at scale.
• APIs or service layers for data exposure. You've built interfaces that other systems consume, not just internal scripts.
• Collaborative. You'll work closely with product engineers to define data contracts and interfaces. You communicate tradeoffs clearly in writing. You document decisions, write clear specs, and communicate tradeoffs in writing.

Preferred Qualifications

• Experience with marketing or analytics data (GA4, GSC, SEO tools)
• Prior experience at a fast-moving startup

What's in It for You

• Fully remote position
• Work directly with the CTO on high-impact projects
• High ownership and autonomy. No micromanagement.
• First-hand exposure to cutting-edge AI and search technology
• Your work will directly impact well-known (10M+ ARR) companies' performance
• Join a fast-growing company at the intersection of AI and marketing

Our Hiring Process

1. Application
2. Take-Home Project
3. Technical Deep Dive
4. Leadership Interview
5. Reference Checks

Pls apply here:

tinyurl [dot] com/ysk8w2eu

We are seeking a talented UiPath Developer with experience in Python, SQL, Pandas, and NumPy to join our dynamic team. The ideal candidate will have hands-on experience developing RPA workflows using UiPath, along with the ability to automate processes through scripting, data manipulation, and database queries.

This role offers the opportunity to collaborate with cross-functional teams to streamline operations and build innovative automation solutions.

Key Responsibilities:

• Design, develop, and implement RPA workflows using UiPath.
• Build and maintain Python scripts to enhance automation capabilities.
• Utilize Pandas and NumPy for data extraction, manipulation, and transformation within automation processes.
• Write optimized SQL queries to interact with databases and support automation workflows.

Skills and Qualifications:

• 2 to 5 years of experience in UiPath development.
• Strong proficiency in Python and working knowledge of Pandas and NumPy.
• Good experience with SQL for database interactions.
• Ability to design scalable and maintainable RPA solutions using UiPath.

* Bachelor's degree in computer science or related fields preferred.

* 8+ years of experience developing core Java applications across enterprise, SME, or start-up

environments.

* Proven experience with distributed systems and event-driven architectures.

* Expertise in Spring Boot, Spring Framework, and RESTful API development.

* Experience in designing, building, and monitoring microservices.

* Solid background in persistence technologies including JPA, Hibernate, MS-SQL, and

PostgreSQL.

* Proficient in Java 11+, including features like Streams, Lambdas, and Functional

Programming.

* Experience with CI/CD pipelines using tools such as Jenkins, GitLab CI, GitHub Actions, or

AWS DevOps.

* Familiarity with major cloud platforms: AWS, Azure, or GCP (AWS preferred).

* Front-end development experience using React or Angular with good understanding of

leveraging best practices around HTML, CSS3/Tailwind, Responsive designs.

* Comfortable in Agile environments with iterative development and regular demos.

* Experience with container orchestration using Managed Kubernetes (EKS, AKS, or GKE).

* Working knowledge of Domain-Driven Design (DDD) and Backend-for-Frontend (BFF) concepts.

* Hands-on experience integrating applications with cloud services.

* Familiarity with event-driven technologies (e.g., Kafka, MQ, Event Buses).

* Hospitality services domain experience is a plus.

* Strong problem-solving skills, with the ability to work independently and in a team.

* Proficiency in Agile methodologies and software development best practices.

* • Skilled in code and query optimization.

* Experience with version control systems, particularly git

Job Title: Marketing Head

Job Summary: We are seeking an experienced and innovative Marketing Head to lead our marketing efforts. The ideal candidate will have a strong background in ecommerce marketing and will be responsible for developing and implementing strategies to enhance our brand presence, drive traffic, and increase sales.

Key Responsibilities:

• Develop and execute comprehensive marketing strategies to achieve business objectives.
• Oversee all marketing initiatives, including digital marketing, social media, email campaigns, and content marketing.
• Collaborate with cross-functional teams to create and implement marketing campaigns.
• Analyze market trends and customer insights to identify growth opportunities.
• Manage and optimize marketing budgets to maximize ROI.
• Monitor and report on the effectiveness of marketing campaigns.
• Lead and mentor the marketing team to achieve targets and foster professional growth.
• Build and maintain relationships with external partners, such as agencies and vendors.
• Ensure brand consistency across all marketing channels.
• Focus on increasing sales ROI through various marketing channels and aim to boost the number of sales.

Requirements:

• Bachelor's degree in Marketing, Business, or a related field.
• Proven experience as a Marketing Head or similar role in the ecommerce industry.
• Strong understanding of digital marketing channels and tools.
• Excellent analytical and decision-making skills.
• Ability to think strategically and creatively.
• Strong leadership and team management skills.
• Excellent communication and interpersonal skills.

Preferred Qualifications:

• Experience with data-driven marketing and analytics.
• Knowledge of the latest marketing trends and best practices.
• Experience in a fast-paced, high-growth environment.

Industry Preference: Ecommerce Client: Uplers Office: JP Nagar, Bangalore

Job Description

[Job Overview]:

● Perform role of MDG senior functional consultant SAP S/4 Hana ABAP skills will

also be good

● [Primary Skills]: SAP MDG domain in scope - Business Partner and Material

Expertise in any std master data domains like material, Business partner

Customer & supplier.

● Functional configuration of MDG like change request, BRF+ workflow

development, data model enhancements, MDGFPM config, etc Support domain

data replication process.

● Facilitate MDG data load and distribution. Understanding of the impact of the

enterprise on decisions made in MDG.

● Minimum 2 full lifecycle implementations in on Business partner Customer and

supplier and Material master domain.

● Hands-on experience in extending the data models, custom entities, and

attributes.

● Good to have knowledge of earlier versions of MDG and S/4 HANA Responsible

to interact with Business and to gather business requirements and accumulate

information.

● Good analytical skills, strong interpersonal and communication skills.

[Good to have Skills]:

JLPT N3 or N2 certified SAP S/4 Hana ABAP skills or debugging skills

[Responsibilities and Duties]:

● Actively engage with the client team by participating in the business process

discussions, understand the current processes, pain points and new

requirements to design an effective solution in S/4HANA.

● Lead the functional / technical consultants in ensuring successful delivery of the

SAP Solution and ensure deliverables for MDG are successfully handed over for

the closure of the project.

● Identify and escalate issues and risks within project structure as soon as

discovered and not just when the delivery is due

● Prepare Key user & End user training and workshop materials and conduct the

meetings Ensure documentation of all key project deliverables and execute

smooth transition plan to the Application maintenance team

● Support Effort Estimation, Solution Standardizing, conduct Training, Mentoring

and Coaching junior team members Strong client facing experience, Analytical

mind-set with a strong eagerness to learn and able to translate requirements into

designs and code / configuration

● Demonstrates excellent communication skills, both oral and written Open to work

in shifts and flexible to support during weekends / holidays in case of urgency

What you need to have: