Sales Development Representative (Inbound, B2B SaaS

Role & Responsibilities

• Lead experience strategy (and partner with design) to develop customer and partner insights, heuristic and competitive experience analysis, and performance optimization strategies.
• Build relationships with leaders and partners to shape our overall strategy/plans.
• Build an inspired User Experience team. Set clear objectives while balancing short-term development with long- term career growth.
• Be an active member of our global creative leadership team, helping create the wider team's vision, culture and goals.
• Promote best practices to partners to support the strategic priorities of Search.
• Winning business, creating excellent digital experiences

Ideal Candidate

• Strong UX Design Leadership Profile
• Mandatory (Experience) : Must have 10+ YOE in UX / Experience Design with significant exposure to leading large-scale design projects and teams (Can consider 8+ YOE for candidates from Top Products with fast career growth)
• Mandatory (Experience 2) : Must have hands-on experience across the end-to-end UX lifecycle (research → ideation → design → testing → delivery → optimization)
• Mandatory (Skill 1) : Must have strong expertise in user research, usability testing, and translating insights into design decisions
• Mandatory (Skill 2) : Must have strong understanding of UX methodologies (Design Thinking, Agile, Lean UX, Design Sprints)
• Mandatory (Skill 3) : Must have experience in designing complex user journeys, interactions, and scalable digital experiences
• Mandatory (Leadership) : Must have experience leading and mentoring UX teams, building team capabilities, and driving design quality
• Mandatory (Current Designation) - Current designation must be Lead or above (For Top Product companies)
• Mandatory (Stakeholder Mgmt) : Must have strong experience in client/stakeholder management, cross-functional collaboration (PMs, engineers, business teams), and leading design workshops
• Mandatory (Portfolio) : Must have a strong portfolio showcasing UX thinking, research-backed design, and complex problem-solving
• Mandatory (Education) : Design Graduate from Tier-1 colleges (IIT, NID, NIFT, BITS etc)
• Mandatory (Company) : Product based companies (B2C highly preferred)

About Autonomize AI

Autonomize AI is on a mission to help organizations make sense of the world's data. We help organizations harness the full potential of data to unlock business outcomes. Unstructured dark data contains nuggets of information that when paired with human context will unlock some of the most impactful insights for most organizations, and it’s our goal to make that process effortless and accessible.

We are an ambitious team committed to human-machine collaboration. Our founders are serial entrepreneurs passionate about data and AI and have started and scaled several companies to successful exits. We are a global, remote company with expertise in building amazing data products, captivating human experiences, disrupting industries, being ridiculously funny, and of course scaling AI

The Opportunity

As a Senior Machine Learning Engineer at Autonomize, you will lead the development and deployment of machine learning solutions with an emphasis on large language models (LLMs), vision models, and classic NLP (Natural Language Processing) models. The ideal candidate will have a proven track record in these areas, particularly within healthcare contexts, and will play a significant role in advancing our AI-driven healthcare optimized AI Copilots and Agents..

What You’ll Do

1. Help fine-tune or prompt engineer large language models (LLMs) for various healthcare applications across various customer engagements.
2. Develop and refine our approach to handling vision based data using state-of-the-art VLM based models capable of processing and analyzing medical documents, healthcare forms in various formats and other visual data accurately.
3. Create and enhance classic NLP models to understand and generate human language in healthcare settings, supporting clinical documentation, and patient interaction.
4. Collaborate with multi-disciplinary teams including data scientists,ml engineers, healthcare clients, and product managers to deliver robust solutions.
5. Ensure models are efficiently deployed and integrated into healthcare systems, maintaining high performance and scalability.
6. Mentor and provide guidance to junior engineers and data scientists, fostering a culture of continuous learning and innovation.
7. Conduct rigorous testing, validation, and tuning of models to ensure accuracy, reliability, and compliance with healthcare standards.
8. Deep understanding of various training techniques including distributed training on GPUs and TPUs.
9. Stay informed on the latest research, tools, and technologies in machine learning, particularly those applicable to language and vision processing in healthcare.
10. Document methodologies, model architectures, and project outcomes effectively for both technical and non-technical audiences.

You’re a Fit If You Have

1. Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
2. 5-7 years of experience in machine learning engineering, with a significant track record in the developing production grade models and model pipelines in a regulated industry such as healthcare.
3. Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision models, and classic NLP technologies.
4. Proficient in programming languages such as Python, with extensive experience in ML libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc.
5. Strong understanding of deep learning techniques, model fine-tuning, hyper parameter optimization, and model optimization 
6. Proven experience in deploying and managing ML models in production environments.
7. Excellent analytical skills, with a problem-solving mindset and the ability to think strategically.
8. Strong communication skills for articulating complex concepts to diverse audiences.
9. Working knowledge or experience in MLOps and LLMOps using tools like mlflow, kubeflow
10. Working knowledge of basic software engineering principles and best practices
11. Demonstrated working knowledge and experience on classic ML techniques and frameworks.
12. Nice to have : Knowledge of Cloud vendor based ML Platforms such as Azure ML, Sagemaker

Bonus Points:

1. Owner mentality - For you, the buck stops at you, You own it, you will learn it, and you will get it done
2. You are naturally curious. Always experimenting than hypothesising - You like to push boundaries, you figure things out and experiment your way through any problem
3. You are passionate, unafraid & loyal to the team & mission
4. You love to learn & win together
5. You communicate well through voice, writing, chat or video, and work well with a remote/global team
6. Large/Complex organization experience in deploying NLP/ML in production 
7. Experience in efficiently scaling ML model training and inferencing 
8. Experience with Big Data technologies using Kafka, Spark, Hadoop, Snowflake

What we offer:

• Influence & Impact: Lead and shape the future of healthcare AI implementations
• Outsized Opportunity: Join at the ground floor of a rapidly scaling, VC-backed startup
• Ownership, Autonomy & Mastery: Full-stack ownership of customer programs, with freedom to innovate
• Learning & Growth: Constant exposure to founders, customers, and new technologies—plus a professional development budget

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

Position Overview

We are seeking an experienced Solutions Architect to lead the technical design and implementation strategy for our finance automation platform. This role sits at the intersection of business requirements, technical architecture, and implementation excellence. You will be responsible for translating complex Statement of Work (SOW) requirements into comprehensive technical designs while mentoring implementation engineers and driving platform evolution.

Key Responsibilities

Solution Design & Architecture

1. Translate SOW requirements into detailed C4 architecture models and Business Process Canvas documentation

2. Design end-to-end solutions for complex finance automation workflows including reconciliations, book closure, and financial reporting

3. Create comprehensive technical specifications for custom development initiatives

4. Establish architectural standards and best practices for finance domain solutions

Technical Leadership & Mentorship

1. Mentor Implementation Engineers on solution design, technical approaches, and best practices

2. Lead technical reviews and ensure solution quality across all implementations

3. Provide guidance on complex technical challenges and architectural decisions

4. Foster knowledge sharing and technical excellence within the solutions team

Platform Strategy & Development

1. Make strategic decisions on when to push feature development to the Platform Team vs. custom implementation

2. Interface with Implementation Support team to assess platform gaps and enhancement opportunities

3. Collaborate with Program Managers to track and prioritize new platform feature development

4. Contribute to product roadmap discussions based on client requirements and market trends

Client Engagement & Delivery

1. Lead technical discussions with enterprise clients during pre-sales and implementation phases

2. Design scalable solutions that align with client's existing technology stack and future roadmap

3. Ensure solutions comply with financial regulations (Ind AS/IFRS/GAAP) and industry standards

4. Drive technical aspects of complex implementations from design through go-live

Required Qualifications

Technical Expertise

● 8+ years of experience in solution architecture, preferably in fintech or enterprise software

● Strong expertise in system integration, API design, and microservices architecture

● Proficiency in C4 modeling and architectural documentation standards

● Experience with Business Process Management (BPM) and workflow design

● Advanced knowledge of data architecture, ETL pipelines, and real-time data processing

● Strong programming skills in Python, Java, or similar languages

● Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies.

Financial Domain Knowledge

● Deep understanding of finance and accounting principles (Ind AS/IFRS/GAAP)

● Experience with financial systems integration (ERP, GL, AP/AR systems)

● Knowledge of financial reconciliation processes and automation strategies

● Understanding of regulatory compliance requirements in financial services

Leadership & Communication

● Proven experience mentoring technical teams and driving technical excellence

● Strong stakeholder management skills with ability to communicate with C-level executives

● Experience working in agile environments with cross-functional teams

● Excellent technical documentation and presentation skills

Preferred Qualifications

● Master's degree in Computer Science, Engineering, or related technical field

● Experience with finance automation platforms (Blackline, Trintech, Anaplan, etc.)

● Certification in enterprise architecture frameworks (TOGAF, Zachman)

● Experience with data visualization tools (Power BI, Tableau, Looker)

● Background in SaaS platform development and multi-tenant architectures

● Experience with DevOps practices and CI/CD pipeline design

● Knowledge of machine learning applications in finance automation.

Skills & Competencies

Technical Skills

● Solution architecture and system design

● C4 modeling and architectural documentation

● API design and integration patterns

● Cloud-native architecture and microservices

● Data architecture and pipeline design

● Programming and scripting languages

Financial & Business Skills

● Financial process automation

● Business process modeling and optimization

● Regulatory compliance and risk management

● Enterprise software implementation

● Change management and digital transformation

Leadership Skills

● Technical mentorship and team development

● Strategic thinking and decision making

● Cross-functional collaboration

● Client relationship management

● Project and program management

Soft Skills

● Critical thinking and problem-solving

● Cross-functional collaboration

● Task and project management

● Stakeholder management

● Team leadership

● Technical documentation

● Communication with technical and non-technical stakeholders

Mandatory Criteria:  

● Looking for candidates who are Solution Architects in Finance from Product Companies.

● The candidate should have worked in Fintech for at least 4–5 years.

● Candidate should have Strong Technical and Architecture skills with Finance Exposure.

● Candidate should be from Product companies.

● Candidate should have 8+ years’ experience in solution architecture, preferably in fintech or enterprise software.

● Candidate should have Proficiency in Python, Java (or similar languages) and hands-on with cloud platforms (AWS/Azure/GCP) & containerization (Docker/Kubernetes).

● Candidate should have Deep knowledge of finance & accounting principles (Ind AS/IFRS/GAAP) and financial system integrations (ERP, GL, AP/AR).

● Candidate should have Expertise in system integration, API design, microservices, and C4 modeling.

● Candidate should have Experience in financial reconciliations, automation strategies, and regulatory compliance.

● Candidate should be Strong in problem-solving, cross-functional collaboration, project management, documentation, and communication.

● Candidate should have Proven experience in mentoring technical teams and driving excellence.

About the Company:

We are a Y Combinator–backed early-stage startup on a mission to empower small family-owned convenience stores. By combining a mobile app with an advanced Point-of-Sale system, we make it easier for these stores to operate efficiently and compete with large corporate chains. Our vision is to help local businesses not just survive, but thrive, while preserving their vital role in communities across America and beyond.

About the Role:

We are looking for a HUNGRY and High-Energy Account Executive who is excited to grow at fast-paced startup, take ownership of their pipeline, and help bring innovation to convenience store owners globally. If you’re competitive, coachable, and motivated by success, this role is for you.

What You’ll Do

• You will own the full sales cycle—from prospecting and qualifying to closing deals.
• You will make 150+ outbound cold calls daily to convenience store owner prospects across America and help teach them about how our technology can super charge their business and eventually convert them into paying customers.
• You will build and nurture long-term customer relationships that create repeat business and referrals.
• You will consistently exceed quotas while contributing ideas to improve sales playbooks and processes.
• You will oftentimes participate in experiments on new product lines and offerings while providing feedback to the leadership team which you will work with directly.
• You will be highly detail oriented and maintain pristine CRM hygiene at all times.

Key Requirements

• Please note that this role is fully in person at our Ahmedabad office and night shift serving our American customer base (8AM to 5PM CST).
• A minimum of 3 years of sales deal closing experience, with at least 2 years of experience closing deals with American or Canadian clients.
• You must be an excellent verbal and written communicator in English, but also verbally fluent in Gujarati and Hindi .
• You must be eager to learn, highly coachable, and open to adopting new strategies, tools, and processes.
• You must have high mental fortitude to deal with constant change within priorities as our early stage startup experiments on new product lines and strategies.
• Since you are cold calling daily and also closing deals daily, you must be comfortable balancing high activity with high-quality conversations that lead to results while managing your own motivation well.
• You must have a strong track record of exceeding quotas in fast-moving environments.

About Us

At Tequity, we specialize in end-to-end product development, delivering insightful research, user-centric design, and scalable engineering solutions. Our dedicated team of product managers, designers, and engineers work collaboratively to ensure your business achieves its goals.

Job Description

We are seeking a skilled Senior QA engineer to join our team. In this role, you will be responsible for working with development teams and product managers to test software solutions.

Roles and Responsibilities:

• Review requirements, specifications and technical design documents to provide timely and meaningful feedback.
• Collaborate with internal teams (e.g. developers and product managers) to identify system requirements.​
• Create detailed, comprehensive and well-structured test plans and test cases.
• Setup testing SoPs to ensure catch 95% of all bugs before it reaches the clients in the first 6 months.
• Hire and train at least 3 QA engineers in the first 6 months.
• Leverage LLMs (gen-AI) to set-up testing pipeline to increase basic testing productivity by 50% in the first 6 months.
• Track quality assurance metrics, like defect densities and open defect counts.
• Stay up-to-date with new testing tools and test strategies.

Requirements

• Bachelor’s degree in Computer Science or a related field, or equivalent experience.
• 5+ years of experience as a software QA engineer.
• Should have led multiple teams and have worked on large scale projects.
• Strong knowledge of software QA methodologies, tools and processes.
• Hands-on experience with both white box, black box testing and automated testing tools.
• Solid knowledge of SQL and scripting.
• Experience working in an Agile/Scrum development process.

Benefits

• Competitive salary and benefits.
• Opportunities for professional growth and development.
• A dynamic and inclusive work environment.

software development and automated testing Proficient in Big Data technologies Designs, codes, tests, corrects and documents large and/or complex programs and program modifications from supplied specifications using agreed standards and tools, to achieve a well engineered result Proficient and Hands-on Data Warehousing,

Experience with Agile development, Continuous Integration, and Continuous Delivery Ability to effectively interpret technical and business objectives and provide solutions Strong communication skills, with ability to articulate technical solutions effectively across diverse group of stakeholders

Need to be a fast learner willing to adapt to evolving needs of the developer community.

Thanks & Regards

snehalata verma

IT Recruiter --HrBizHub

1. A competent user of all internal systems, to include our employee records system (HRMS- SPINE)
2. Updating and maintaining HR systems, records, and reports with accurate employee data.
3. Undertake all required pre-employment checks, updating, and discussing with line manager and recruitment team as appropriate.
4. Providing MIS & monthly employee payroll data in support of the payroll subject matter expert.
5. Processing changes to employee's circumstances, including preparing accurate and effective documentation/communication and updating relevant databases.
6. Processing leavers, including preparing accurate, relevant documentation and updating systems accordingly.
7. Producing Information reports and complete any HR audit requirements and/or reporting as required.
8. Ensuring that the end-to-end HR process always supports a positive employee experience.
9. Following existing HR processes accurately and challenging these for ongoing efficiencies.
10. Supporting HR priority projects with any administrative activity
11. Responding to emails on behalf of the department
12. Providing ad-hoc administrative support to any of the other HR functions, as necessary and in line with business requirements.

      Experience in C#, OOps, Javascript, HTML

·       Should have delivered successful end-to-end development to deployment experience on Web applications and Api’sin last 1-5 years

·         Experience in SQL is a must

·         Should have 1-5 years experience in backend development

·         Experience in service-based development using technologies such as Web API and RESTful services. 

·         Proficient in writing clean, well-structured code with proper abstraction and reusability.

.         Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements.