Recruit Square

As a Lead generation consultant,you will be responsible for developing, implementing, and optimizing multi-channel lead generation campaigns to build a robust pipeline for our sales team. You will demonstrate market understanding of the Talent/Capability Development (learning/e-learning, custom learning, localization, and translation) services/produts and markets and will be adept at customer engagement. This role demands a candidate with analytical prowess to interpret data and drive decisions, coupled with strong collaboration skills to work effectively with sales and marketing.

• Lead Generation Strategy Development: Define and implement comprehensive lead generation strategies encompassing learning/e-learning, localisation, and translation services, aligning with overall sales and marketing objectives. This includes identifying target audiences, understanding their needs, and determining the most effective channels to reach them.

•    Multi-Channel Campaign Management: Plan, execute, and optimize lead generation campaigns across various online and offline channels. This includes digital marketing (SEO/SEM, content marketing, social media marketing, email marketing, webinars, online advertising) and outbound activities (targeted outreach, industry events, networking).

•    Content Strategy Collaboration: Work closely with the marketing team to develop compelling content that attracts and converts target prospects for learning/e-learning, localisation, and translation products/services.

•    Marketing Automation and CRM Management: Utilize marketing automation platforms and CRM systems to manage lead generation processes, track campaign performance, nurture leads, and ensure seamless handoff to the sales team.

•    Performance Monitoring and Analysis: Track, measure, and analyze the performance of lead generation campaigns using relevant metrics. Provide regular reports and insights to the sales and marketing teams, recommending optimizations for improved results.

•    Collaboration with Sales: Work closely with the Sales Manager and sales team to understand their needs, ensure lead quality, and optimize the lead-to-opportunity conversion process for learning/e-learning, localisation, and translation products/services.

•    Market Research and Competitive Analysis: Conduct ongoing market research to identify new lead generation opportunities, understand industry trends in learning/e-learning, localisation, and translation, and analyze competitor activities.

•    Budget Management: Manage the lead generation budget effectively, ensuring optimal ROI on marketing and outreach activities.

•    Vendor Management: Manage relationships with external vendors or agencies supporting lead generation efforts.

•    Staying Updated: Keep abreast of the latest trends and best practices in lead generation, digital marketing, and sales enablement for learning/e-learning, localisation, and translation product/service-based industries.

Bachelor's degree in Marketing, Business Administration, or a related field.

•    Minimum of 8-10 years of experience in pre-sales/lead generation, preferably in the learning/e-learning, localisation, and translation industry or a related technology sector.

•    Proven track record of success in developing and executing lead generation strategies, preferably with experience in the B2B sector.

•    Experience in generating leads for technology products, SaaS solutions, or service-based offerings is highly desirable.

•    Familiarity with the learning/e-learning, localisation, and translation industries is a significant advantage.

•    Strong understanding of digital marketing principles and channels.

•    Experience with marketing automation platforms and CRM systems.

•    Excellent analytical skills and the ability to interpret data to drive decisions.

•    Strong project management and organizational skills.

•    Excellent written and verbal communication skills.

•    Ability to work independently and collaboratively within a team environment.

•    Proactive, results-oriented, and data-driven approach. 

•    Willingness to travel as required by business.

•    Deep understanding of AGILE methodologies and extensive experience working within a learning, educational technology, or complex content delivery environment.

Key Responsibilites

1. Administrave Support

 Manage calendars, schedule appointments, and coordinate meetings.

 Handle travel arrangements: flights, hotels, visas, transporation.

 Prepare agendas, minutes of meetings, and follow-up actions.

 Draft emails, letters, reports, and presentations.

 Maintain filing systems (digital and physical).

2. Communication & Coordination

 Act as a point of contact between the executive and internal/external stakeholders.

 Manage incoming calls, messages, and correspondence.

 Coordinate with different departments for updates, approvals, and deadlines.

3. Office & Task Management

 Track daily tasks, priorites, and deadlines for the executive.

 Support in planning events, meetings, conferences.

 Handle expense reports, reimbursements, and vendor coordina on.

 Ensure the executive’s office is organized and functioning efficiently.

4. Project & Follow-up Support

 Monitor ongoing projects, deadlines, and deliverables.

 Conduct research and prepare summaries or briefings.

 Assist in data collec on, documentation, and presentations for meetings.

5. Confidential Support

 Maintain strict confidenality of sensitive information.

 Handle personal tasks when required (top zonal based on role requirement).

Required Skills & Qualifications

 Bachelor’s degree in any discipline.

 2–5+ years of experience as an Executive Assistant or similar role.

 Strong verbal and written communication skills.

 Proficiency in MS Office

 Excellent me management and organizational abilities.

 Ability to multi task, work under pressure, and prioritize effectively.

 Professional appearance and behaviour.

 High level of discretion and integrity.

Preferred Skills

 Knowledge of office management systems.

 Experience in working with senior executives or in fast-paced environments.

 Strong problem-solving and decision-making skills.

Work Environment

 Office-based role (with occasional travel if required).

 Availability beyond office hours when necessary for urgent tasks.

We are seeking a Senior UI/UX Designer & Developer to lead user‑experience and interface design across our AI platform. The ideal candidate will have deep experience crafting complex digital products from concept to launch, be highly proficient in Figma and other modern design/prototyping tools, and be motivated to translate AI‑driven workflows into intuitive experiences for clinicians, researchers and business users. This role demands excellent problem‑solving skills, the ability to conduct user research and synthesise insights into design decisions, and the technical know‑how to collaborate with full‑stack engineers on the implementation.

Key Responsibilities

• Lead UX Strategy & Research
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• Conduct discovery research, interviews and design-thinking sessions to understand user needs, pain points and mental models, especially in clinical and med‑tech contexts .
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• Gather and interpret analytics, telemetry and user feedback to inform product roadmaps and AI‑assisted experiences.
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• Design AI‑Enabled User Journeys
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• Craft user flows and interaction patterns for AI‑powered features (e.g., conversational interfaces, predictive insights) ensuring the outputs are trustworthy and actionable.
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• Collaborate with product and engineering teams to scope MVP features, create wireframes and high‑fidelity mock‑ups, and iteratively refine the designs based on feedback .
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• Develop & Prototype
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• Build interactive prototypes using Figma and other rapid‑prototyping tools; implement responsive UI components using HTML, CSS, JavaScript/TypeScript or React.
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• Work alongside full‑stack developers to translate designs into production code, ensuring accessibility, performance and adherence to design systems .
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• Establish Design Systems & Best Practices
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• Define and maintain a scalable design system with pattern libraries, UI components and design tokens.
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• Champion UX best practices such as usability testing, heuristic evaluations and inclusive design .
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• Evaluate emerging AI design tools and generative capabilities to accelerate design workflows.
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• Cross‑Functional Collaboration
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• Communicate design decisions effectively to stakeholders, including product managers, AI scientists, clinicians and business leaders .
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• Participate in Agile ceremonies, provide UX input on backlog prioritisation and contribute to sprint planning and reviews .
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Qualifications & Experience

• Experience:
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• 6-10 years of UI/UX design experience with at least 3–5 years designing complex SaaS platforms or AI‑enabled products in healthcare, med‑tech or regulated industries.
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• Demonstrated success leading end‑to‑end design projects—from discovery through research, prototyping, user testing and production.
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• Strong understanding of AI concepts (generative AI, NLP, predictive analytics) and how they impact user experience.
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• Skills:
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• Expert proficiency with Figma and similar design tools like Sketch, Adobe XD and ProtoPie.
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• Strong knowledge of design systems, human‑centered methodologies and data‑driven UX decision‑making .
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• Proficiency in front‑end technologies (HTML5, CSS3/SASS, JavaScript/TypeScript or React) and understanding of responsive design and accessibility standards .
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• Ability to communicate designs and concepts clearly and persuasively to non‑design audiences .
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• Experience with Agile/Scrum, CI/CD workflows and collaboration tools such as Jira, Confluence and Git.
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• Preferred:
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• Familiarity with healthcare regulations (HIPAA, SaMD) and designing compliant user experiences.
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• Experience working with global teams (US, India, EMEA) and designing multi‑language interfaces.
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What Success Looks Like

• Deliver intuitive, accessible interfaces that empower clinicians and researchers to leverage AI‑driven insights with minimal friction.
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• Establish a cohesive design system across the IntraIntel.ai platform and ensure consistency across modules.
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• Collaborate closely with development teams to ensure seamless hand‑offs and high‑quality implementation of UI components.
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• Mentor junior designers and developers, fostering a culture of experimentation, empathy and user advocacy.
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Application & Evaluation

Candidates should be prepared to present a portfolio demonstrating complex project work, particularly AI‑enabled or healthcare‑related interfaces. We value clear communication, a passion for solving real‑world problems and the ability to translate technological possibilities into human‑centered solutions.

Job Description – Senior Marketing Leader / Head of Marketing (IntraIntel.ai, Global)

About IntraIntel.ai

IntraIntel.ai is an enterprise AI platform for intelligent workflow automation, delivering instant intelligence from organizational data without migration. The platform’s multi‑agent architecture automates complex workflows in healthcare, manufacturing, finance and research, reducing manual effort and generating significant cost savings. We partner with customers across sectors to deploy AI agents that generate deep insights, automate compliance, and streamline operations.

Role Summary

The Marketing Executive will own IntraIntel.ai’s market strategy and execution in India, working as part of a global marketing team. This position requires a strategic thinker and hands‑on leader who can craft compelling narratives about end‑to‑end AI platform value, identify high‑potential customer segments, and drive demand generation across channels.

Key Responsibilities

• GTM Strategy & Positioning: Develop and execute a data‑driven marketing strategy that aligns IntraIntel’s AI‑native platform and multi‑agent architecture with market needs Define triggers and leading indicators for pipeline creation, including industry events, regulatory deadlines, and emerging technology trends.
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• Segmentation & Targeting: Identify and prioritize verticals (healthcare, clinical trials, finance, manufacturing, textiles, etc.) where the platform’s workflow automation and cost‑reduction capabilities offer maximum benefit. Develop buyer personas (C‑suite, clinical leaders, compliance officers, manufacturing heads) and craft tailored messaging.
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• Channel & Campaign Management: Determine the optimal mix of channels (digital marketing, content, partnerships, events, thought leadership) to reach decision‑makers. Build multi‑channel campaigns and refine them through ongoing analysis
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• Demand Generation & Lead Nurturing: Drive inbound and outbound marketing programs to build a qualified pipeline; use marketing automation and CRM tools to track conversions, nurture leads and measure ROI.
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• Product Marketing & Storytelling: Translate complex AI concepts (LLMs, agents, vector search, RAG) into clear value propositions. Create collateral, case studies, demos, webinars and industry presentations that showcase the platform’s ability to consolidate siloed AI tools into a single end‑to‑end solution.
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• Sales Enablement & Customer Engagement: Work closely with sales and solution engineering to enable smooth handoffs. Support customer conversations, demo sessions and proof‑of‑concept engagements. Become a trusted advisor to prospects by understanding their business and identifying fit.
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• Partnerships & Relationship Development: Build relationships with industry associations, channel partners, and potential enterprise customers in India, the U.S. and Dubai. Bring existing executive‑level connections to accelerate market entry and establish IntraIntel’s reputation.
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• Market Intelligence & Competitive Analysis: Monitor competitive offerings, industry regulations and emerging AI technologies. Generate insights that influence product strategy and roadmap
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• Performance Measurement: Define key performance indicators (KPIs) for lead generation, conversion, revenue, brand awareness and customer satisfaction. Report regularly on marketing performance and adjust tactics to meet targets.
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Qualifications

• Proven Marketing Leadership: 8–12 years in B2B SaaS marketing, including at least 3–5 years owning GTM strategy and execution. Demonstrated ability to develop multi‑channel campaigns and collaborate with cross‑functional teams
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• AI/Technology Domain Expertise: Understanding of AI platforms, machine learning, LLMs and workflow automation. Experience marketing complex technical products to both technical and business audiences.
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• Industry Exposure: Direct or indirect experience in healthcare, clinical research, manufacturing, finance or related sectors. Ability to understand regulatory contexts and decision‑making structures across these industries.
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• Global Mindset: Experience marketing to U.S. and Indian enterprises (knowledge of Dubai/GCC market is a plus). Ability to localize messaging without losing global consistency.
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• Relationship Builder: Strong network of senior contacts in relevant industries. Confidence interacting with CEOs, CTOs and CIOs; comfort delivering high‑stakes demos and presentations.
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• Analytical & Results‑Driven: Proficient in data analysis, market research and marketing automation tools. Track record of achieving or exceeding pipeline and revenue targets through marketing initiatives
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• Communication & Collaboration: Excellent written and verbal communication skills. Ability to translate technical concepts into business value. Effective collaborator across product, sales, engineering and executive teams.
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• Education: Bachelor’s degree in Marketing, Business or a related field; an MBA or equivalent advanced degree is preferred.
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Performance Expectations & KPIs

• Demand Creation: Meet or exceed quarterly targets for qualified leads and opportunities.
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• Pipeline Contribution: Deliver measurable contribution to revenue through marketing‑sourced pipeline.
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• Market Awareness: Achieve growth in brand visibility, share of voice and thought leadership within targeted industries.
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• Campaign Effectiveness: Improve conversion rates across the marketing funnel; demonstrate ROI for each channel.
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• Customer Insights: Provide feedback on customer pain points, competitive intelligence and feature requests to the product team.
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• Team Collaboration: Maintain strong alignment with sales, product and customer success teams.
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Additional Notes

This role offers the opportunity to build a marketing function from the ground up in a fast‑growing AI company. The successful candidate will have a blend of strategic vision, hands‑on execution capability, and a passion for AI‑enabled digital transformation.

Position: Senior Sales Executive – AI Platforms

Location: India (remote, with travel as required)

Employment Type: Full-time

About IntraIntel.ai

IntraIntel.ai is an end‑to‑end AI platform that helps enterprises unlock value from their data. The platform unifies clinical, financial and operational data via connectors and employs generative, retrieval‑augmented, and prescriptive AI to automate workflows and accelerate decision‑making. The solution is HIPAA/GDPR/SOC2/HITRUST compliant and supports multiple verticals including healthcare, clinical research, manufacturing and finance.

Summary of Role

We are seeking a seasoned sales leader who will build IntraIntel.ai’s presence in India and support growth in the US and Middle East markets. This role is ideal for an entrepreneurial seller who has successfully grown AI‑enabled SaaS products and understands enterprise healthcare, clinical trial, finance or manufacturing domains. You will develop our go‑to‑market strategy, build and manage the sales pipeline, and close high‑value deals with US‑based and global customers. You will work closely with our product, marketing and customer‑success teams to translate the platform’s technical capabilities into business outcomes.

Key Responsibilities

1. Go‑to‑market strategy & pipeline management

• Craft and execute a regional sales strategy aligned with corporate revenue goals and market positioning. Define target customer segments and build a robust pipeline of qualified leads, leveraging your network and working with marketing to create multi‑channel campaign.
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• Establish the sales funnel and forecasting process, monitor key metrics (e.g., lead‑to‑opportunity conversion, win rate, average deal size), and implement CRM best practices. Provide accurate monthly/quarterly forecasts to leadership
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2.Revenue generation & business growth

• Own the entire sales cycle from prospecting to closing. Conduct compelling demos of IntraIntel.ai’s platform, articulate the value of unified AI agents and RAG capabilities for customers’ business problems, and negotiate pricing and contracts
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• Identify and build strategic partnerships in healthcare, clinical trial, finance and manufacturing sectors to drive growth. Support channel partners and resellers in the US, India and Dubai.

3.Market research & customer insights

• Perform continuous market research to understand industry trends, competitive landscape, and regulatory changes. Identify triggers such as new regulations, reimbursement shifts or data‑integration challenges that drive demand for IntraIntel.ai.
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• Define ideal customer profiles, buyer personas and use‑case stories. Provide feedback to product and marketing teams to refine messaging and product roadmap
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4.GTM execution & cross‑functional collaboration

• Collaborate with marketing to plan and execute campaigns, webinars, and events. Design sales–marketing SLAs and ensure smooth lead hand‑off and follow‑through
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• Work with product management to tailor demos and proof‑of‑concepts for key accounts. Provide input into pricing, packaging and feature prioritisation based on market feedback.
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5.Relationship management & thought leadership

• Build executive‑level relationships with healthcare providers, CROs, medical device firms, finance leaders, and manufacturing executives. Represent IntraIntel.ai at conferences and thought‑leadership events to build brand awareness.
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• Maintain ongoing relationships with customers post‑sale to ensure satisfaction and identify expansion opportunities.

6.Team leadership & mentoring

• While initially an individual contributor, you will help recruit, train and mentor junior sales talent as we scale. Share best practices, coach team members in consultative selling and negotiation, and foster a high‑performance culture
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7.Metrics & KPIs

• Define and meet KPIs such as revenue quotas, pipeline coverage, conversion rates, average deal cycle length, and customer acquisition cost. Prepare executive reports and dashboards to track progress and highlight risks or opportunities
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Skills & Experience

• Sales expertise: 7+ years in enterprise sales with a track record of selling AI/SaaS platforms to US, India and Middle‑East markets. Familiarity with healthcare, clinical trial operations, financial services, real estate or manufacturing verticals is a strong plus.
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• AI & SaaS literacy: Ability to grasp AI technologies such as LLMs, retrieval‑augmented generation and AI agents, and translate them into business value for enterprise clients. Prior experience selling data platforms, analytics or automation solutions is desirable.
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• Strategic & analytical: Demonstrated success in designing and executing GTM plans, performing market segmentation, and using data and KPIs to drive decision‑making Proficient in CRM and sales analytics tools.
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• Relationship builder: Strong network with C‑suite and senior decision makers in healthcare, clinical trial, finance and manufacturing. Excellent communication, negotiation and storytelling skills to persuade technical and non‑technical audiences
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• Cross‑functional collaborator: Proven ability to work with marketing, product and customer success teams. Comfortable presenting feedback to leadership and aligning teams around shared revenue goals
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• Leadership & growth mindset: Ability to mentor junior sales professionals and build a high‑performance sales team. Entrepreneurial spirit with adaptability to a rapidly evolving AI landscape.
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• Education & travel: Bachelor’s degree (MBA or relevant postgraduate degree is a plus). Willingness to travel across India, US and Middle East.
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What Success Looks Like

• Revenue & pipeline: Achieving and exceeding annual revenue targets and maintaining a healthy pipeline across different geographies. Delivering consistent forecast accuracy.
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• Market penetration: Establishing IntraIntel.ai as a preferred AI platform in at least one major vertical in India and creating a foothold for expansion into the US and Middle East.
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• Customer adoption: Securing strategic reference customers, obtaining positive testimonials, and achieving high renewal and expansion rates.
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• Team & process: Building scalable sales processes, playbooks and metrics dashboards; helping to hire and train new team members; and fostering a culture of collaboration with marketing and product teams.

We are looking for AI Interns from IIT and Top Colleges of India who have worked on AI Based projects during their tenure or have any experience in AI.

Infrastructure Engineer – Database & Storage

Responsibilities

• Design and maintain PostgreSQL, OpenSearch, and Azure Blob/S3 clusters.
• Implement schema registry, metadata catalog, and time-versioned storage.
• Configure read replicas, backups, encryption-at-rest, and WORM (Write Once Read Many) compliance.
• Optimize query execution, indexing, and replication latency.
• Partner with DevOps on infrastructure as code and cross-region replication.

Requirements

• 6 + years database / data-infrastructure administration.
• Mastery of indexing, partitioning, query tuning, sharding.
• Proven experience deploying cloud-native DB stacks with Terraform or Helm.

Frontend Engineer – Admin Console & Workflow Studio

Responsibilities

• Build responsive UI in React / TypeScript / Tailwind CSS.
• Implement a visual workflow composer (drag-and-drop DAG builder).
• Integrate data from telemetry, governance, and Kernel APIs into rich dashboards.
• Optimize for accessibility, performance, and enterprise responsiveness.

Requirements

• 4 + years frontend engineering.
• Deep experience with state management (Redux / Zustand) and API integration.
• Eye for UX and interaction design for technical admin users.

Data Engineer – Validation & Quality

Responsibilities

• Build rule-based and statistical validation frameworks using Pandas / NumPy.
• Implement contradiction detection, reconciliation, and anomaly flagging.
• Design and compute confidence metrics for each evidence record.
• Automate schema compliance, sampling, and checksum verification across data sources.
• Collaborate with the Kernel to embed validation results into every output artifact.

Requirements

• 5 + years in data engineering, data quality, or MLOps validation.
• Strong SQL optimization and ETL background.
• Familiarity with data lineage, DQ frameworks, and regulatory standards (SOC 2 / GDPR).

We are seeking a seasoned Engineering Lead with deep expertise in workflow orchestration systems, stateful execution engines, and distributed task runtimes. You will architect the next generation of our DAG-based runtime, develop the infrastructure for agentic workflow composition, and drive execution excellence across engineering. This role combines hands-on systems design with technical leadership and team mentorship.

Key Responsibilities

1. Architect & Build the Swarm Runtime

• Design and implement a DAG-based orchestration engine using Temporal, Argo Workflows, or equivalent event-driven runtimes.
• Build a scalable primitive registry for tasks, operators, guards, and computational nodes.
• Architect a robust scheduler capable of handling event triggers, retries, backoffs, and distributed coordination.

2. Develop the Workflow Composition Layer

• Define and build a YAML/JSON-based DSL for describing agentic workflows, dependencies, and execution semantics.
• Create a schema-driven rules engine ensuring validations, model calls, parallelism, conditional branching, and approval gates are seamlessly integrated.

3. Orchestration Logic & Runtime Intelligence

• Implement orchestration logic that coordinates:
• Validation layers
• Model calls (LLMs, embedding engines, external APIs)
• Human-in-the-loop approval gates
• Stateful transitions and checkpointing
• Ensure deterministic execution, traceability, and safe rollback mechanisms.

4. Workflow Certification & Automated Testing

• Define certification standards for every workflow type, including:
• Functional correctness
• Latency and concurrency thresholds
• Error-handling expectations
• Observability and trace coverage
• Build automated regression test suites validating workflow integrity before deployment.

5. Engineering Leadership & Delivery

• Lead, mentor, and grow a team of backend and systems engineers.
• Drive sprint planning, reviews, engineering discipline, and roadmap execution.
• Own runtime delivery deadlines, cross-team coordination, and release quality.

6. Observability, Reliability & Production Excellence

• Instrument the runtime with observability hooks: metrics, tracing, structured logs, and execution heatmaps.
• Build robust retry logic, distributed locks, idempotency guards, and failover strategies.
• Improve runtime stability, throughput, and scale characteristics.

Requirements

Must-Have

• 8+ years of backend engineering experience building high-scale systems.
• 3+ years leading teams focused on workflows, automation, orchestration, or distributed runtimes.
• Deep understanding of:
• Stateful orchestration engines (Temporal, Step Functions, Argo, Airflow)
• Message queues, pub/sub systems, and event-driven patterns
• Retry logic, compensating transactions, and idempotent operations
• Distributed tracing, observability pipelines, and health checks
• Strong background in concurrent programming, async task management, and execution models.
• Hands-on experience with at least one systems language or backend stack (Python, Go, Rust, Node).

Nice-to-Have

• Experience building workflow DSLs or schema-driven interpreters.
• Familiarity with LLM pipelines, agentic runtimes, or AI-driven workflow automation.
• Knowledge of Kubernetes-based runtime environments and workflow controllers.
• Experience with pluggable architecture design, sandboxing, or execution policies.

What This Role Offers

• Ownership of the core execution engine powering Perceive Now’s intelligent automation platform.
• A high-impact leadership position shaping architectural strategy and engineering culture.
• The opportunity to solve cutting-edge problems at the intersection of orchestration, distributed systems, and AI.