We like to say, “Come to MongoDB and get your Masters in Sales” where we spend 7x the industry average on rep enablement. We’re investing in ways to not only attract, hire, and develop top talent but also ensure our Account Executives are set up for long-term success on their individual career paths.

Come & join our team and be at the forefront of what we believe is the perfect blend of career opportunity, innovative technology, and top-tier enablement! 

We are looking to speak to candidates who are based in the Bengaluru, Gurugram or Mumbai office for our hybrid working model.

The Opportunity

We’re looking for reps that are hungry to sell into the next up-and-coming companies in India that are disruptive within their respective industries. We have over 200M downloads and work with innovative corporate companies like Zepto, Ubuy, SonyLIV, Zomato, Canara HSBC Life and others that are leveraging our technology every single day. 

According to the IDC, there are over 500 million new applications being built over the next 5 years and you would be tasked with landing a high volume of those quality new logos. 

Primarily selling the MongoDB Atlas platform, the most advanced cloud database service on the market, you have the opportunity to directly influence MongoDB’s upward growth trajectory.

Day to Day

• Cultivate sales through outbound prospecting and inbound leads
• Meeting customers in-field and closing deals 
• Prospect into CTOs, Engineering/IT leaders, and technical end users
• Meet and exceed individual monthly, quarterly, and annual Quarterly targets
• Manage the full sales cycle for both Atlas and Professional Services
• Manage a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach
• Handle quote creation and order processing
• Collaborate with the Sales ecosystem like Marketing, Account Development, Solutions Architects, and others.

What you bring to the table

• 5 years to 20 years of experience in a full sales cycle role (we have different roles for varying levels of experience)
• Bachelors in Engineering/Bachelor of Technology preferred
• Experience working with Strategic/Named/Enterprise Accounts, Government and PSU customers or Digital Natives/Startups
• Demonstrated ability to open new accounts and run a complex sales process
• Familiarity with software, database, infrastructure, or open source technology a plus (NOT a pre-requisite)
• Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer)
• Excellent presentation, verbal, and written communication skills
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales) a plus

Why You Should Apply

• As we move toward an AI-driven era by 2030, MongoDB is uniquely positioned to power modern AI applications with the flexibility and scale required to manage unstructured data.
• We are leading the charge when it comes to the intersection of product-led growth and sales-led execution
• Great earning potential 
• Restricted stock options for new hires and a competitive Employee Stock Purchasing Program 
• Welcoming and inclusive workplace - Meet MongoDB’s Employee Affinity Groups! Find out more here.
• Continuous career development
• Sales training in MEDDPICC and Command of the Message
• MongoDB Onboarding Sales Bootcamp
• Internal mentor and buddy programs

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).  

We are looking for a Principal Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in Bengaluru, Mumbai or Gurugram  near an airport that will enable them to easily visit customer sites in APAC.

This role can be based remotely in Bengaluru, Mumbai or Gurugram.

Roles Responsibilities

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
• Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 426250

Required Skills and Experience:

• 7+ years of experience in network engineering roles
• Relevant experience or certification (e.g. CCNP or JNCIP Data centre, Enterprise or Service provider)
• Strong knowledge of BGP, OSPF, routing policies, and network troubleshooting
• Strong understanding of TCP/IP, DNS, NAT, routing, switching, and load balancing
• Hands-on experience with Cisco networking platforms
• Ability to troubleshoot layer 2 (ARP and MAC address tables as well as LACP and MC-LAG)
• Ability to troubleshoot DNS problems
• Experience with common network cabling
• Kubernetes CNI (Calico, Cilium)
• Cloud & Hybrid Networking
• Experience with hybrid cloud networking including site-to-site VPNs and private connectivity (AWS Direct Connect, GCP Interconnect)
• Understanding of cloud-native networking services (VPC, Transit Gateway, Cloud Router)
• Automation & Infrastructure-as-Code
• Working knowledge of Terraform for network infrastructure provisioning
• Experience with configuration management tools (Ansible, or similar)
• Observability & Operations
• Experience implementing network monitoring and alerting systems
• Understanding of network performance metrics and logging
• Ability to create and maintain runbooks and documentation
• Security
• Experience implementing network security controls and segmentation
• Understanding of firewall management and security policies
• Familiarity with network access control concepts

Preferred skills:

• EVPN
• Experience with IPv6 rollout
• Juniper specific knowledge and experience
• Linux CLI

Location - Navi Mumbai, India

Position Summary

We are seeking a highly skilled Infrastructure Security Engineer-L2 (Palo Alto & NGFW) responsible for implementation, administration, and support of Palo Alto Next-Generation Firewalls (NGFW) across enterprise and cloud environments. The role involves handling day-to-day operations, incident management, troubleshooting, and TAC coordination, along with contributing to firewall migrations and security enhancements. The engineer will play a key role in maintaining secure and stable network infrastructure for critical business operations.

Key Responsibilities

• Provide L2 support for Palo Alto NGFW environments, including incident handling, troubleshooting, and resolution.
• Manage day-to-day firewall operations, including policy changes, NAT configurations, and VPN management.
• Perform advanced troubleshooting for network and security issues across on-prem and cloud environments (AWS, Azure, GCP, OCI).
• Handle TAC coordination with vendors for critical and complex issues.
• Configure and manage:
• IPSec VPNs, Remote Access VPNs, and Clientless VPNs
• Security policies, NAT rules, and ACLs
• Work on Palo Alto Panorama for centralized management, including templates, log collectors, and policy deployment.
• Implement and support Next-Generation Firewall features such as:
• Threat Prevention
• URL Filtering
• Content Filtering
• Data Loss Prevention (DLP)
• User-ID
• Participate in and execute firewall migration projects (e.g., Cisco ASA to Palo Alto).
• Support IDS/IPS administration and monitoring, including performance tuning and alert handling.
• Perform change management activities in line with ITIL processes.
• Prepare and maintain technical documentation including HLD, LLD, SOPs, and knowledge base articles.
• Conduct security assessments, gap analysis, and recommend improvements in security architecture.
• Collaborate with L3 teams and stakeholders for design improvements and complex issue resolution.
• Provide inputs for network security strategy, transformation projects, and infrastructure planning.

Technical Skills

• Strong hands-on experience with Palo Alto NGFW (PAN-OS) and its advanced features.
• Working knowledge of Palo Alto Panorama (templates, device groups, log collectors).
• Experience with Cisco ASA firewalls and firewall migration projects.
• Strong understanding of:
• Network Security concepts
• OSI Model & TCP/IP protocols
• Routing & Switching fundamentals
• Expertise in:
• IPSec VPN configuration & troubleshooting
• NAT, ACLs, and security policy management
• Exposure to cloud security networking in:
• AWS
• Azure
• GCP
• OCI
• Knowledge of IDS/IPS systems and threat prevention mechanisms.

Basic Qualifications

• Bachelor’s degree in Engineering (B.E./B.Tech – CSE, IT, ECE) or MCA / M.Sc (Computer Science).
• Minimum 5+ years of experience in network security and firewall management.
• Hands-on experience in Palo Alto firewall administration and troubleshooting.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• PCNSE (Palo Alto Networks Certified Network Security Engineer) certification.
• CCNP Security or equivalent certification.
• Experience in enterprise datacentre and cloud security deployments.

About Liberis

Liberis was founded and is backed by Blenheim Chalcot.

Liberis is on a mission to supercharge the power of small businesses around the world by delivering the financial products they need to grow, through our global network of partners. Before all else, Liberis is a technology company, connecting finance with small businesses. We use data to help partners understand their customers’ real-time needs and build technology that enables partners to offer tailored funding and financial products. To date, we’ve funded almost 50,000 small businesses with over $2bn - but we believe this is just the beginning. 

The Team

We are the Risk team responsible for managing the credit risk of Liberis’ portfolios, which include designing effective new strategies, managing the credit quality of our products across geographies, and providing specialist credit risk advice to the business.

The Risk team is based in London and covers Risk analytics, Decision Science, Underwriting and Collections. Our mission is to grow Liberis profitably to become the leading embedded business finance provider and we are now looking for a Analyst/Senior Credit Risk Analyst to join us on this journey.

The Role

You are someone that is excited by the prospect of a challenge, appreciate autonomy and the space to generate your own ideas and are passionate about finance that serves to support small businesses, not just turn a profit.

Reporting to the Senior Manager in the Risk Management team you will develop best in class credit risk strategies that reward our members and deliver value to Liberis. You will have the opportunity to work on a broad range of projects and workstreams that provide credit risk insights while ensuring we stay within the organisation’s risk appetite.

You should have experience in a similar analytical role where you have used statistical and analytical tools to drive innovative strategy changes. You should be able to derive insights from data and be able to present results in a concise way to relevant stakeholders.

What you’ll be doing

1. Risk Data Architecture & Structuring

• Design and maintain scalable credit risk data marts and portfolio datasets.
• Define and document data definitions, schemas, and maintain metric logic for key risk indicators (e.g. delinquency, roll rates, vintage curves, loss metrics).
• Partner with Data Engineering to optimise warehouse structures (Snowflake/BigQuery/Redshift or equivalent) and to improve the accuracy, consistency, and automation of risk reporting processes.
• Ensure consistency and governance across risk, finance, and commercial datasets.
• Validate and reconcile underlying data sources, ensuring data quality standards are upheld.
• Use data to ensure the execution of our strategy is in line with expectations with the right governance, control, and monitoring.

2. Building scalable Reporting & Automation layer

• Build reusable reporting layers that scale as origination volumes and product complexity increase.
• Create self-serve reporting environments for risk stakeholders while maintaining control frameworks.
• Prepare reporting and datasets for new initiatives on an ad-hoc basis and deep-dive insights required by Risk, Finance, and executive and senior leadership.
• Create ability to do data mining by the rest of the risk team.
• Bring visibility to more datasets that will support risk team’s day-to-day analytics and operational management towards SLAs

3. Supporting Portfolio Monitoring & Analytical Frameworks (Build scalable monitoring frameworks covering as below)

• Portfolio performance tracking
• Early warning indicators
• Concentration and exposure monitoring
• Vintage and cohort analysis
• Stress and sensitivity views
• Ensure reporting can flex across products, segments, and funding structures.

4. Ensuring Data Quality, Controls & Governance

• Implement validation checks and automated reconciliations within reporting pipelines.
• Own data integrity across risk reporting outputs.
• Develop monitoring for data drift and structural anomalies.
• Support internal audit and regulatory reviews with well-documented reporting logic and traceability.
• Closely collaborate with colleagues across Liberis, especially in the Engineering, Analytics, Product, Growth, Partnerships, and UK/US/European teams.

What we think you’ll need

• Bachelor’s or Master’s degree in Finance, Economics, Statistics, Mathematics, Data Analytics, Engineering or related quantitative discipline.
• 2-4 years experience in data management, building data marts or database maintenance.
• Strong affinity to build deep understanding of data flows and build re-usable datasets for the end-analytical users. Experience in a similar data role is a must.
• Demonstrated ability to drive high-quality analysis, with a robust understanding of how this will be used practically.
• Advance level proficiency and strong experience with databases management and analytical data product creation; Minimum 1 year of experience with Google Cloud Platform tools such as Looker, DBT, and BQ would be a must-have (minimum 6-months exp)
• Intermediate level proficiency in Excel and at least one BI/data visualisation tool (e.g.,Power BI, Tableau, Looker).
• Advanced SQL proficiency - ability to write complex queries independently across large datasets
• Ability to convey complex findings in a logical and easy-to-understand style.
• Turns rigorous analysis into clear, reasoned recommendations.
• Excellent analytical and problem-solving skills with strong attention to detail (must-have)
• Clear communicator with ability to explain complex data insights to non-technical stakeholders.
• Strong judgement, with the ability to make trade-offs between what is desired and what is feasible.
• Comfortable working in a fast-moving, ambiguous, and changing company.
• Experience working cross-functionally with engineering, risk, operations, and finance teams.
• A collaborative mindset and willingness to work with a wide range of teams.
  Experience in lending analytics or fintech credit products.
• Understanding of credit risk metrics and frameworks (PD/LGD/EAD) and lending

Liberis is an equal opportunities employer. We welcome applications from all candidates, including individuals with disabilities and provide reasonable adjustments as required.

FEQ427R107

As a Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems

Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.

This is a Hybrid role, based in Mumbai. 

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. 
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• 8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Strong consulting / customer facing experience , working with external clients across a variety of industry markets
• Coding experience in Python, R, Java, Apache Spark™ or Scala
• Experience building distributed data systems
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Available to travel to customers in your region
• Nice to have: Databricks Certification

About the role: 

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. 

Required skills

• 8 + years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
• 1+ year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Experience in driving the engineering team toward a technical roadmap.
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. 
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Education

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

SUMMARY

As a Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Director, Solutions Engineering. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. 

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards,  product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meet-ups, and industry events.

WHAT YOU’LL BRING

• Ability to deliver world class demonstrations and training experience to our channel customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting partners to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
• Ability to travel
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

Head of Quality Engineering to lead and scale our QA function in India (Relocation to Noida required) 

 This is a pivotal leadership role within our Engineering and Technology team, requiring a unique blend of strategic foresight, commercial awareness, and hands-on technical expertise. 

The ideal candidate is not just a manager but a leader and coach—someone who can recruit and build a high-performing team from the ground up while maintaining involvement in projects and automation. You will be the driving force behind our continued AI Transformation in QA in the region and, ensure our technical capabilities are always one step ahead of business demand. 

This role offers relocation to Noida, its important that you are happy to relocate to Noida and our team will support your relocation 

What you’ll be doing: 

Leadership, Team Development & Future-Readiness 

• Build & Scale: Recruit top-tier QA talent to build the India team. Manage high-volume, high-pressure hiring cycles and  a establish QA Automation hub. 

• Future-Proofing the Workforce: Collaborate closely with Sales and Business Development teams to understand the sales pipeline and emerging market trends. Translate these insights into training roadmaps to ensure the team is "project-ready" for next-generation work before it arrives. 

• Talent Development: Follow and contribury to global engineering career progression frameworks. Foster a culture of continuous learning by coordinating training programs, onboarding graduates, and personally coaching team members. 

• Global Collaboration: Act as the primary liaison for the India region within our global community of QA leaders, ensuring alignment with global standards while addressing local operational needs. 

• Employee Wellbeing: Balance the drive for high performance with a deep commitment to team wellbeing, proactively managing signs of burnout and ensuring a healthy, sustainable work-life balance for your staff. 

 
AI Transformation & Technical Excellence 

• AI Leadership: Champion the adoption of AI-assisted testing tools and generative AI within the QA workflow. Lead transformation activities to automate test generation, self-healing scripts, and predictive quality analytics. 

• Automation Strategy: Lead the design and development of robust, scalable test automation frameworks using modern tools, with a specific focus on Playwright. 

• Hands-on Engineering: Review complex test scenarios and contribute to automation code or framework architecture. You will be expected to guide the team on technical implementation in Java, Python, or JavaScript. 

• Shift-Left & CI/CD: Support project teams in integrating quality gates within deployment pipelines and drive the adoption of "Shift-Left" testing principles. 

 
Strategic Quality Management 

• Metrics & KPIs: Define and track quality metrics (DRE, Test Coverage, Cycle Time) to provide transparent reporting to executive stakeholders. 

• SDLC Integration: Collaborate closely with Engineering, Product, and DevOps leads to embed quality as a mindset throughout the development lifecycle. 

• Infrastructure & Data: Oversee test environment management, data management strategies, and ensure the infrastructure supports rigorous performance and security testing. 

• Client Delivery Assurance: Act as the senior escalation point for critical project quality issues. Build relationships with global account leads to ensure Indian based delivery teams are meeting client expectations and strictly adhering to any SLAs 

 
Process & Operations 

• Agile Efficiency: Optimize testing processes to support rapid Agile/Scrum development cycles, reducing time-to-market whilst improving quality. 

• Prioritization: Expertly handle multiple conflicting priorities and context switching between strategic planning, crisis management, and recruitment activities. 

What we want from you: 

• Extensive QA Leadership & Team Scaling: Proven extensive experience in Quality Assurance, leading and managing teams, with a track record of building and scaling QA teams from small to medium sizes (including graduate intake and senior hires). 

• Comprehensive Technical QA Expertise: Strong hands-on proficiency in test automation frameworks (Java, Python, JavaScript), deep understanding of Functional, API, Performance (JMeter, k6), and Security testing fundamentals. 

• Modern QA Tooling & CI/CD Mastery: Experience with Playwright is highly desirable, along with proficiency in modern CI/CD tools (Jenkins, GitHub Actions, GitLab CI). 

• E-commerce/Retail Domain Expertise: Understanding of complex buying journeys within E-commerce/Retail domains, with experience using platforms like Shopify, Adobe Commerce, SFCC, or CommerceTools. 

• Strategic Business & Commercial Acumen: Ability to analyse business trends, sales pipelines, and commercial impact to forecast skill requirements, drive proactive team upskilling, and strategically prepare teams for future sales initiatives. 

• AI Transformation & Empowerment: Proven experience with AI transformation activities and a passion for empowering teams to effectively utilize AI tools in daily workflows. 

• Adaptable, Resilient & Results-Oriented: Comfortable with frequent context switching, adept at managing ambiguity in a fast-paced environment, and capable of handling demanding hiring targets and delivery deadlines. 

• Exceptional Communication & Stakeholder Management: Excellent verbal and written communication skills, capable of clearly explaining complex technical quality risks to non-technical stakeholders. 

• High Emotional Intelligence & Relationship Building: Possesses high emotional intelligence, fostering deep trust and strong relationships across cultural boundaries as an approachable, empathetic listener. 
• Vibrant Team & Tech Community Builder: Actively fosters a vibrant internal engineering culture (organizing Hackathons, Guilds, Lunch & Learns) and a strong sense of community within a distributed workforce through team bonding and celebrating successes. 

Desirable Attributes: 

• Cloud Native: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). 

• Emerging Tech: Demonstrated knowledge of AI/ML testing approaches and implementation of LLMs in testing. 

• Certifications: ISTQB Advanced Level or equivalent quality certifications. 

• Remote Management: Experience managing distributed or remote teams across different time zones. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

Data Engineer with experience working with GCP wanted to join us on a permanent basis. You can either join us in our growing Mumbai team or join us remotely from across India. 

Step into the Koppling workstream as a Data Engineer and be a key player in building a sophisticated media data warehouse. Your role will involve developing and deploying robust ETL/ELT data pipelines to automate the integration of 3rd party data sources at scale. This is an excellent opportunity to apply solid technical problem-solving skills, advance your data engineering capabilities, and gain a foundational understanding of the marketing data domain. You'll contribute to creating a centralized, reliable data source that informs critical business decisions, working within a collaborative team environment.

What you’ll be doing

• Developing, and deploying robust ETL/ELT data pipelines using Python and SQL to integrate various 3rd party data sources.
• Automating the integration of 3rd party data sources at scale, ensuring data accuracy and timeliness for our media data warehouse.
• Utilizing Google Cloud Platform (GCP) services such as BigQuery, Cloud Run, and Scheduler for efficient data processing and orchestration.
• Performing data modeling and transformations using dbt and SQL to structure and refine data within the media data warehouse.
• Managing and version controlling pipeline code and configurations using Git, ensuring collaborative development and deployment.
• Troubleshooting and optimizing existing data pipelines to enhance reliability, performance, and scalability.
• Applying infrastructure-as-code principles to manage data resources, potentially using tools like Terraform for environment provisioning.
• Developing or integrating APIs for complex data ingestion and exploring the use of streaming data technologies like Kafka or Pub/Sub for real-time data needs.
• Implementing and maintaining CI/CD pipelines to automate the testing, deployment, and monitoring of data solutions.

What we want from you

• Professional experience in data engineering or a similar role.
• Hands-on experience with Google Cloud Platform (GCP) services including BigQuery, Cloud Run, and Scheduler.
• Proficiency in SQL for data manipulation and analysis.
• Strong programming skills in Python.
• Experience with dbt.
• Familiarity with infrastructure-as-code principles.
• Understanding of data warehousing concepts, ETL/ELT processes, and data modeling.
• Experience with version control systems (e.g., Git).
• Excellent problem-solving skills, attention to detail, and a proactive attitude.
• Ability to work independently and as part of a team in a fast-paced environment.

Desirable Attributes

• Familiarity with Terraform.
• Experience with API Development.
• Knowledge of streaming data processing concepts (e.g., Kafka, Pub/Sub).
• Familiarity with CI/CD pipelines.
• Relevant GCP certifications are a plus.

What we can offer you

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-AS1

SLSQ427R256

Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.

Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.

The impact you will have

• Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.
• Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.
• Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.
• Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.
• Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.
• Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.
• Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.
• Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.
• Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.

What success looks like in this role

This role requires the ability to operate across two key motions simultaneously:

• Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.
• Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts.

Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.

Success in this role requires strength in four areas:

1. Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.
2. Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.
3. Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.

Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party

What we look for

• 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.
• Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.
• Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.
• Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).
• Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.
• Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.
• Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.
• Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.
• Bachelor’s degree or equivalent practical experience.

Preferred qualifications

• Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.
• Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.
• Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.
• Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.
• Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.
• Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Absolute Must

• 12+ years of overall  experience
• Digital Planning and analytics background –
• Working on custom audience segments developed from owned asset audiences and platform cohorts
• Worked on first party data audiences and owned platforms
• Understanding of business strategies, growth marketing
• Worked on performance campaigns for portals and apps
• Some experience in Data Science and Analytics

Nice to Have:

• Implementation expert of GA, A/B Testing
• Deloitte /PwC / Accenture / EY digital background – independent consulting
• GA experience preferred exposure to Google marketing platform, google tag manager, google optimize
• Good to have GCP and Big query
• SQL background (can learn adh and other products with this background)
• A/B testing experience
• Someone with global delivery centres, who has talked to the client, stakeholder management
• Working knowledge of Digital media platforms and plans

What Will The Person Do?

• Ensuring data integration both from a planning perspective, ensuring scaling and relevant deployment
• Data first planning across brand portfolio and efficiency optimization
• Drive audience solutions like ADH and Bridge for planning and deployment
• Integration of CRM and CDP from an audience lens across brand plans
• Use of analytics for audience building and prioritization
• Building and operationalizing the FPD architecture (collection, enrichment , deployment ,measurement etc )
• Institutionalization of Digital measurement and analytics practice for brands
• Setting up of digital kpi’s both from a short term and long term standpoint
• Understanding of full funnel journeys especially for digital first brands
• Off platform and on platform attribution
• Understanding of outcomes and integrating it back into planning
• Understanding of platform audits and highlighting relevant action
• Defining tagging strategy both from a paid and on owned media lens
• CDP and DCR testing from an analytics standpoint

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Join our dynamic and high-impact Data team as a Data Engineer, where you'll be responsible for safely receiving and storing trading-related data for the India teams, as well as operating and improving our shared data access and data processing systems. This is a critical role in the organisation as the data platform drives a huge range of trader analysis, simulation, reporting and insights. The ideal candidate should have work experience in systems engineering, preferably with prior exposure to financial markets and with proven working knowledge in the fields of Linux administration, orchestration and automation tools, systems hardware architecture as well as storage and data protection technologies.

Your Core Responsibilities:

• Manage and monitor all distributed systems, storage infrastructure, and data processing platforms, including HDFS, Kubernetes, Dremio, and in-house data pipelines
• Drive heavy focus on systems automation and CI/CD to enable rapid deployment of hardware and software solutions
• Collaborate closely with systems and network engineers, traders, and developers to support and troubleshoot their queries
• Stay up to date with the latest technology trends in the industry; propose, evaluate, and implement innovative solutions

Your Skills and Experience:

• 5–7 years of experience in managing large-scale multi-petabyte data infrastructure in a similar role
• Advanced knowledge of Linux system administration and internals, with proven ability to troubleshoot issues in Linux environments
• Deep expertise in at least one of the following technologies: Kafka, Spark, Cassandra/Scylla, or HDFS
• Strong working knowledge of Docker, Kubernetes, and Helm
• Experience with data access technologies such as Dremio and Presto
• Familiarity with workflow orchestration tools like Airflow and Prefect
• Exposure to cloud platforms such as AWS, GCP, or Azure
• Proficiency with CI/CD pipelines and version control systems like Git
• Understanding of best practices in data security and compliance
• Demonstrated ability to solve problems proactively and creatively with a results-oriented mindset
• Quick learner with excellent troubleshooting skills
• High degree of flexibility and adaptability

In India, we have our teams based in Pune, Mumbai, Delhi and, Bangalore. We pride ourselves on being client-focused and collaborative, on the pioneering edge of technology. We also have fun. Whether it’s office happy hours, team outings, or game nights, we believe in working with people we like to hang out with.

Ideal candidate traits

If you identify as a team player and you are humble, hungry, and smart — we would love to get to know you. We believe these qualities to be vital to building a strong, productive, and collaborative work environment, where everyone is committed to achieving common goals and working towards shared success.

We are looking for people who are willing to learn from others, who can put their egos aside and prioritise the needs of the team. You should also be highly motivated, driven to succeed, and always looking for ways to improve. We value emotional intelligence, excellent communication skills, and a collaborative spirit that enables them to build strong relationships with teammates and work effectively towards shared goals.

At AlphaSense we are committed to fostering a work culture that encourages these qualities and values the contributions of team players who exhibit them. We seek to match the ambition of ideal team players by offering opportunities for personal and professional growth, providing the resources and support necessary to achieve their goals, and creating an environment where hard work, dedication, and teamwork are celebrated and rewarded. At AlphaSense we are building teams of ideal players who embody the core values of Sisu, driving the company’s success and helping us to create a positive impact on the world.

Technologies that we work with:

Frontend

ReactJS, TypeScript, Micro Frontends

Applications

NodeJS, TypeScript, GraphQL, Java 17, Spring Boot, Python, FastAPI

Backend

Java 17, Spring Boot, Python, FastAPI, Kafka

Search and AI

Apache Solr, Elasticsearch, Vector Search, ML, LLM, Pytorch, Tensorflow

Cloud architecture

AWS, GCP, Kubernetes, Crossplane, Argo CD

Quality & reliability

Cypress, Selenium, Selenide, Playwright, Rest Assured, K6, Prometheus, Loki, Grafana

Ready to Make an Impact?

Join our talent community, hear about exciting career opportunities, and get tailored job recommendations based on your interests.

If you’re looking for a challenge, if you love finding things that need interesting solutions, AlphaSense is a great place to come. It is a place for builders, for people who want to create the next thing.

Want to hear more?

Contact us and let’s figure out together if we can find a common path. Tell us about yourself and your background in your own words.

Your role:

• Manages or support all clinical aspects of a study, including assessing operational feasibility; assist in managing Clinical study timelines and metrics; provides study-specific training and leadership to clinical team; prepares and presents project debriefings, as required; plan, execute, lead or support study-specific meetings (e.g., Study Management Meetings, investigator meetings). Responsible for ensuring that Clinical Team delivers timely and high-quality project
• Site Management: Track and manage subject recruitment at all study sites. Oversee or supports the management of study Monitoring Visits, and review and approval of Monitoring Reports. Monitor study/site performance on an ongoing basis and escalate any infringements, breaches, and misconduct, fraud and trends at sites. Ongoing protocol deviation tracking, reporting, and trending. Notify sites of updates on global study information and updates.
• Study Start-Up: Uses operational and therapeutic expertise to optimize trial execution. Determine or contribute to the list of approved sites for selection visits. Plan or assist in allocating clinical team resources. Determine, develop and implement tracking and reporting specifications. Works with the study team to design clinical protocol; provides input for the design of the ICF template, source documents worksheets, and CRFs. Prepares and/or reviews study-related documents to include, visit report templates and annotations, clinical logs, forms, manuals and guidelines.
• Document and Supplies Management: Oversee or support the collection, review and filing of site essential documents, and maintenance of the TMF. Coordination of IP and clinical study supplies and oversee or support the overall tracking of clinical supplies at site in coordination with established systems such as IWRS, EDC, CTMS, or vendor-specific
• Compliances: Follow international GCP guidelines/regulations, SOPs, and study protocol for executing clinical studies. Participates in the planning of quality assurance activities and coordinates or support the resolution of audit findings.
• Staff Management: Support Clinical Management Team or act as functional Manager to Clinical operations staff allocated on assigned projects. Provides coaching and guidance to junior Clinical staff.
• Daily interaction with the Clinical Management Team and members of the cross-functional study team.
• Support study management team in selecting sites and countries; develops relationships with investigators and site staff.
• Support the cross-functional study team as needed; frequent cross-functional interactions with internal and external personnel (e.g., regulatory affairs, investigators, vendors, etc.).
• Lead or partake in regular team meeting / teleconferences; Participate/present at Client Presentation Meetings as necessary; Participate/present at Investigator Meetings as necessary.
• Communicate any out of scope issues to the Senior Clinical Management Team or Project Management Team as soon as identified.
• Other duties as assigned.

Your Profile:

• Bachelor’s Degree in biomedical sciences or related scientific discipline
• Fluent English (oral and written) and applicable local business language.
• Minimum 8 years of clinical research experience with a combination of clinical monitoring, study operations, and other relevant clinical research experience
• Excellent organizational, multi-tasking, and time management skills required
• Excellent verbal, written communication, and presentation skills.
• Sound knowledge of medical terminology and expert proficiency level in clinical trial monitoring and management process.
• Sound knowledge and understanding of ICH GCP and worldwide applicable regulatory requirements
• Excellent skills at documenting study conduct and management.
• Effective business skills for interactive situations with peers, sites, and clients.

If you have the experience required and want to join an energetic, creative, and collaborative team, please apply directly to our website at https://biorasi.com or email us at careers@biorasi.com.

We strive to provide our employees and their families with benefits that are thoughtfully designed to enhance your health and well-being.  Our employees enjoy half-day Fridays, paid time off, paid holidays, extensive country specific benefits, employee bonus programs, career growth, training and development.